Journal Description
Agriculture
Agriculture
is an international, scientific peer-reviewed open access journal published monthly online by MDPI.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE (Web of Science), PubAg, AGRIS, RePEc, and other databases.
- Journal Rank: JCR - Q1 (Agronomy) / CiteScore - Q2 (Plant Science)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 17.7 days after submission; acceptance to publication is undertaken in 2.4 days (median values for papers published in this journal in the second half of 2023).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
- Companion journals for Agriculture include: Poultry, Grasses and Crops.
Impact Factor:
3.6 (2022);
5-Year Impact Factor:
3.6 (2022)
Latest Articles
An Internet of Things-Based Cluster System for Monitoring Lactating Sows’ Feed and Water Intake
Agriculture 2024, 14(6), 848; https://doi.org/10.3390/agriculture14060848 - 28 May 2024
Abstract
Acquiring real-time feeding information for monitoring lactating sows and their feeding requirements is a challenging task. Real-time data represent an important input for numerous tasks, such as disease monitoring, nutritional regulation, and feeding modeling. However, concurrently monitoring large numbers of sows and processing
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Acquiring real-time feeding information for monitoring lactating sows and their feeding requirements is a challenging task. Real-time data represent an important input for numerous tasks, such as disease monitoring, nutritional regulation, and feeding modeling. However, concurrently monitoring large numbers of sows and processing the real-time information for modeling is challenging using existing platforms. In this paper, we describe the design and development of a system that monitors and processes sows’ feed and water consumption in real time. The system was custom-developed using open-source networking technologies. The system consists of three components: an electronic sow feeder connected to a central controller via a CAN network, an MQTT service cluster, and a data processing program. The MQTT service cluster uses Netty to develop a single service node, and it uses Zookeeper and Redis to complete node registration, discovery, and scheduling. The data processing program is based on Spark and Flink. We conducted comparative testing of three common codecs (Java Serializer, Marshalling, and Protostuff) to further speed up data transmission. The results of the experiment show that, with three service nodes, the system can concurrently monitor up to 20,000 sows. Moreover, the system achieves optimal performance when monitoring 10,000 sows at the same time, with a TPS of 6399 pcs/s and an RT of 643 ms.
Full article
(This article belongs to the Special Issue Digital Innovations in Agriculture—Series II)
Open AccessArticle
Design and Experimentation of Rice Seedling Throwing Apparatus Mounted on Unmanned Aerial Vehicle
by
Peichao Yuan, Youfu Yang, Youhao Wei, Wenyi Zhang and Yao Ji
Agriculture 2024, 14(6), 847; https://doi.org/10.3390/agriculture14060847 - 28 May 2024
Abstract
In order to further exploit the production advantages of rice throwing, this paper proposes a systematically designed throwing device suitable for integration with unmanned aerial vehicles (UAVs). The device primarily comprises a seedling carrying and connection system, a seedling pushing mechanism, and a
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In order to further exploit the production advantages of rice throwing, this paper proposes a systematically designed throwing device suitable for integration with unmanned aerial vehicles (UAVs). The device primarily comprises a seedling carrying and connection system, a seedling pushing mechanism, and a seedling guiding device. The operational principles and workflow of the device are initially elucidated. Subsequently, an analysis of factors influencing rice throwing effectiveness is conducted, with throwing height, working speed, and the bottom diameter of the seedling guide tube identified as key factors. Seedling spacing uniformity and seedling uprightness are designated as performance indicators. A three-factor, three-level response surface experiment is conducted, yielding regression models for the experimental indicators. Through an analysis of the response surface, the optimal parameter combination is determined to be a throwing height of 142.79 cm, a working speed of 55.38 r/min, and a bottom diameter of the seedling guide tube of 43.51 mm. At these parameters, the model predicts a seedling spacing uniformity of 88.43% and a seedling uprightness of 88.12%. Field experiments validate the accuracy of the optimized model results. Experimental data indicate that under the optimal operational parameters calculated by the regression model, the seedling spacing uniformity is 86.7%, and the seedling uprightness is 84.2%. The experimental results meet the design requirements, providing valuable insights for UAV rice-throwing operations.
Full article
(This article belongs to the Special Issue Precision Planting Technology and Equipment in Advanced Crop Cultivation)
Open AccessArticle
ApIsoT: An IoT Function Aggregation Mechanism for Detecting Varroa Infestation in Apis mellifera Species
by
Ana Isabel Caicedo Camayo, Martin Alexander Chaves Muñoz and Juan Carlos Corrales
Agriculture 2024, 14(6), 846; https://doi.org/10.3390/agriculture14060846 - 28 May 2024
Abstract
In recent years, the global reduction in populations of the Apis mellifera species has generated a worrying deterioration in the production of essential foods for human consumption. This phenomenon threatens food security, as it reduces the pollination of vital crops, negatively affecting the
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In recent years, the global reduction in populations of the Apis mellifera species has generated a worrying deterioration in the production of essential foods for human consumption. This phenomenon threatens food security, as it reduces the pollination of vital crops, negatively affecting the health and stability of ecosystems. The three main factors generating the loss of the bee population are industrial agriculture, climate changes, and infectious diseases, mainly those of parasitic origin, such as the Varroa destructor mite. This article proposes an IoT system that uses accessible, efficient, low-cost devices for beekeepers in developing countries to monitor hives based on temperature, humidity, , and TVOC. The proposed solution incorporates nine-feature aggregation as a data preprocessing strategy to reduce redundancy and efficiently manage data storage on hardware with limited capabilities, which, combined with a machine learning model, improves mite detection. Finally, an evaluation of the energy consumption of the solution in each of its nodes, an analysis of the data traffic injected into the network, an assessment of the energy consumption of each implemented classification model, and, finally, a validation of the solution with experts is presented.
Full article
(This article belongs to the Special Issue Digital Innovations in Agriculture—Series II)
Open AccessArticle
Smart Contracts as a Tool to Support the Challenges of Buying and Selling Coffee Futures Contracts in Colombia
by
Cristian Camilo Ordoñez, Mario Muñoz Organero, Gustavo Ramirez-Gonzalez and Juan Carlos Corrales
Agriculture 2024, 14(6), 845; https://doi.org/10.3390/agriculture14060845 - 28 May 2024
Abstract
In Colombia, coffee futures contracts represent essential financial agreements that allow producers and buyers to establish prices, quality, and conditions for future transactions in the coffee market. Despite the evident benefits of stability and predictability, this practice faces significant sustainability challenges that threaten
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In Colombia, coffee futures contracts represent essential financial agreements that allow producers and buyers to establish prices, quality, and conditions for future transactions in the coffee market. Despite the evident benefits of stability and predictability, this practice faces significant sustainability challenges that threaten its long-term viability. One of the reasons is the significant lack of transparency in the supply chain. Farmers, affected by abrupt price fluctuations and adverse weather conditions such as the El Niño phenomenon, experience an increase in market prices, leading to the non-delivery of the final product, and contract breaches as they find better prices in the local market. In this context, smart contracts emerge as a promising technological solution to address these problems. These contracts enable the verification of each step in the process, from harvest to final sale, within a blockchain. Therefore, this research designs a smart contract managed through a platform called SmartBeanFutures, which records the clauses of futures contracts using the IERC721 framework, allowing the generation of a unique and non-repeatable asset. It aims to sell, promote, and manage coffee sale prices during the agreement’s signing, creating a transparent environment for chain actors. This proposal undergoes evaluation in a test environment, providing farmers access to the designed platform. Following the validation of the proposal, it was identified that over 74% would use this type of contract in their agricultural processes, highlighting that implementing this technology contributes to eliminating intermediaries in the chain and gives farmers more control over their participation in the market.
Full article
(This article belongs to the Section Agricultural Economics, Policies and Rural Management)
Open AccessArticle
Effect of Dietary Supplementation of Enteric Avian-Origin Lactobacillus casei-Fermented Soybean Meal on the Growth Performance and Intestinal Health of Broiler Chickens
by
Yunlong Zhu, Jincheng Li, Jiaxin Liu, Xue Yang, Tingting Liu, Ran Wang, Xiaoting Chen, Huisi Yang, Ziyi Mo, Dongyue Han, Qingyan Jiang and Gang Shu
Agriculture 2024, 14(6), 844; https://doi.org/10.3390/agriculture14060844 - 28 May 2024
Abstract
The bacterial strain is key to fermentation, and the intestinal tract in livestock and poultry is a resource bank of good natural strains. The objective of this study was to evaluate the effect of soybean meal fermented using Lactobacillus casei, isolated from
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The bacterial strain is key to fermentation, and the intestinal tract in livestock and poultry is a resource bank of good natural strains. The objective of this study was to evaluate the effect of soybean meal fermented using Lactobacillus casei, isolated from healthy broiler intestines with excellent organic acid production, on the intestinal health and growth performance of broilers. A total of 120 Arbor Acre male broiler chickens aged 21 days were fed until 42 days of age. These chickens were randomly divided into four groups with five replicates per group. Each replicate contained six broiler chickens. The specific groups were the control group (basal diet), the low-dose fermented soybean meal (FSBM) additive group (FSBML, basal diet + 0.2 kg/t FSBM), the middle-dose FSBM additive group (FSBMM, basal diet + 2 kg/t FSBM), and the high-dose FSBM additive group (FSBMH, basal diet + 5 kg/t FSBM). The results demonstrated a significant increase in the average daily feed intake (ADFI) and average daily gain (ADG) of the FSBMH group (p < 0.05). The FSBMH group displayed a significantly increased villus height (VH) to crypt depth (CD) ratio (VH/CD) for the duodenum (p < 0.05) and rectum (p < 0.05). The examination of the ileal mucosa showed that the FSBMH group (p < 0.05) had significantly higher levels of glutathione (GSH) activity, as well as higher relative mRNA expression of ZO-1, ZO-2, Occludin, IL-4, IL-6, MCP-1, TNF-α, IFN-α, IFN-β, and IFN-γ. However, the activities of superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) were significantly lower in the FSBMH group (p < 0.05). The FSBMH group also showed higher levels of Nitriliruptoraceae and Ruminococcaceae. In conclusion, the addition of 5 kg/t FSBM to diets had an ameliorative effect on broiler growth performance and intestinal health.
Full article
(This article belongs to the Section Farm Animal Production)
Open AccessArticle
The Simulation and Parameter Optimization of the Hole-Forming Process of a Duckbilled Hole-Forming Device
by
Binqiang Zhao, Xiangdong Ni, Wenqing Cai and Kezhi Li
Agriculture 2024, 14(6), 843; https://doi.org/10.3390/agriculture14060843 - 28 May 2024
Abstract
This paper addresses the hole-forming process of a duckbilled hole-forming device. Based on a coupled simulation using the multi-body dynamics software RecurDyn and the discrete element software EDEM, the hole-forming mechanism of a duckbilled hole-forming device and the influence of control parameters on
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This paper addresses the hole-forming process of a duckbilled hole-forming device. Based on a coupled simulation using the multi-body dynamics software RecurDyn and the discrete element software EDEM, the hole-forming mechanism of a duckbilled hole-forming device and the influence of control parameters on the hole-forming performance of the hole-forming device were studied. In this paper, we analyze the direction and speed of soil particles transported under soil disturbance by a hole-forming device through the simulation and study of the hole-forming mechanism of the hole-forming device. By controlling parameters such as the traction angle, forward speed, and mass of the hole-forming device, the influence of the control parameters on the hole-forming trajectory of the duckbilled hole-forming device was investigated. Orthogonal tests determined the optimal combination of control parameters. The results show that the hole-forming process of the hole-forming device mainly comprises squeezing and shearing the soil to form holes, and the hole-forming performance of the hole-forming device was optimal when the traction angle was 17.3°, the forward speed was 1.11 m/s, and the mass of the hole-forming device was 17.9 kg.
Full article
(This article belongs to the Section Agricultural Technology)
Open AccessArticle
Oat Threshing Damage and Its Effect on Nutritional Components
by
Yun Liu, Peichen Xin, Jinyan Sun and Decong Zheng
Agriculture 2024, 14(6), 842; https://doi.org/10.3390/agriculture14060842 - 28 May 2024
Abstract
Mechanical threshing can cause damage to oats, and the nutritional quality of the damaged kernels easily changes during storage. The current research on oats with regard to threshing damage and nutritional quality falls into two separate research areas, but they are inextricably linked.
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Mechanical threshing can cause damage to oats, and the nutritional quality of the damaged kernels easily changes during storage. The current research on oats with regard to threshing damage and nutritional quality falls into two separate research areas, but they are inextricably linked. It is necessary to combine these two types of studies. In order to explore the damage mechanism of oat threshing and its effect on the nutritional components, a three-dimensional model of oat–nail-tooth impact was established, and a finite element analysis of the dynamic impact process was performed using LS-DYNA. The changes in the von Mises stress, contact force, energy, critical velocity, and damage characteristics during impact on different surfaces of the kernel were analyzed. A threshing test was carried out, and the kernels were classified according to their different damage types. The differences in the nutrient compositions and contents of oats with different damage types were analyzed by means of near-infrared spectroscopy and physicochemical testing. The results showed that the von Mises stress and contact force tended to first increase and then decrease during impact. When the impact velocity was 12 m/s, for the top, bottom, front, back, and left sides of the oat impacted by the nail tooth, the maximum von Mises stresses were 10.05, 10.46, 8.60, 9.28, and 8.49 MPa, respectively. The maximum contact forces were 25.09, 18.57, 34.29, 38.37, and 35.19 N, respectively. The critical velocities of impact damage were 13.38, 13.10, 13.40, 14.64, and 16.00 m/s, respectively. The threshing damage could be divided into four typical types: transverse fracture, bottom breakage, side fracture, and back crack. The chemical compositions of oat kernels with different damage types were basically the same, but their nutrient contents were different. These results provide a theoretical basis for optimizing oat threshing devices, reducing threshing damage, and improving oat quality.
Full article
(This article belongs to the Section Agricultural Technology)
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Open AccessArticle
Evolution of Industrial Quality Parameters of Wheat during Storage in White and Colored Silo Bags: A Field-Scale Study
by
Ricardo Enrique Bartosik, Marcelo Leandro Cardoso, Barbara Betina Carpaneto, Valentina Astiz, Elena Rosa Molfese and Diego Antonio de la Torre
Agriculture 2024, 14(6), 841; https://doi.org/10.3390/agriculture14060841 - 28 May 2024
Abstract
Over the past two decades, the silo bag system has gained popularity for storing grains and by-products under hermetic conditions. However, the impact of higher temperatures in the outer grain layer on key industrial parameters, such as wheat baking quality, remains insufficiently understood.
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Over the past two decades, the silo bag system has gained popularity for storing grains and by-products under hermetic conditions. However, the impact of higher temperatures in the outer grain layer on key industrial parameters, such as wheat baking quality, remains insufficiently understood. Traditional silo bags are black on the inside and white on the outside to reflect sunlight, but colored bags, recently introduced to the market, absorb more heat, potentially warming the grain and causing damage. This study aimed to assess the effect of grain strata and bag color on grain temperature and quality under field conditions. Results showed a significant surface temperature increase in colored bags compared to white ones, approximately 3 °C, which affected the temperature of the peripheral grain layer. Moisture content slightly increased (0.2 percentage points) in the outer grain layer. However, many industrial quality parameters (protein content, P/L, W, and loaf volume) and the germination test for wheat, showed no significant differences between colored and white bags or between different strata after 120 days of storage, although the falling number increased and wet gluten decreased. These findings suggest that, despite surface temperature differences, the overall industrial quality of wheat remains unaffected by external bag coloration. The influence of ambient temperature on the peripheral layer was estimated to affect approximately 5–10% of the grain mass, indicating that adverse impacts on grain quality may go unnoticed without implementing stratified sampling techniques.
Full article
(This article belongs to the Special Issue Recent Innovations in Post-harvest Preservation and Protection of Agricultural Products—Series II)
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Open AccessReview
An Overview of Polymeric Hydrogel Applications for Sustainable Agriculture
by
Priscila Vedovello, Lívia Valentim Sanches, Gabriel da Silva Teodoro, Vinícius Ferraz Majaron, Ricardo Bortoletto-Santos, Caue Ribeiro and Fernando Ferrari Putti
Agriculture 2024, 14(6), 840; https://doi.org/10.3390/agriculture14060840 - 27 May 2024
Abstract
Agriculture, a vital element of human survival, confronts challenges of meeting rising demand due to population growth and product availability in developing nations. Reliance on pesticides and fertilizers strains natural resources, leading to soil degradation and water scarcity. Addressing these issues necessitates enhancing
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Agriculture, a vital element of human survival, confronts challenges of meeting rising demand due to population growth and product availability in developing nations. Reliance on pesticides and fertilizers strains natural resources, leading to soil degradation and water scarcity. Addressing these issues necessitates enhancing water efficiency in agriculture. Polymeric hydrogels, with their unique water retention and nutrient-release capabilities, offer promising solutions. These superabsorbent materials form three-dimensional networks retaining substantial amounts of water. Their physicochemical properties suit various applications, including agriculture. Production involves methods like bulk, solution, and suspension polymerization, with cross-linking, essential for hydrogels, achieved through physical or chemical means, each with different advantages. Grafting techniques incorporate functional groups into matrices, while radiation synthesis offers purity and reduced toxicity. Hydrogels provide versatile solutions to tackle water scarcity and soil degradation in agriculture. Recent research explores hydrogel formulations for optimal agricultural performance, enhancing soil water retention and plant growth. This review aims to offer a comprehensive overview of hydrogel technologies as adaptable solutions addressing water scarcity and soil degradation challenges in agriculture, with ongoing research refining hydrogel formulations for optimal agricultural use.
Full article
(This article belongs to the Special Issue Sustainable Water-Resource Strategies in Agriculture for Climate Change Adaptation)
Open AccessArticle
Green Manuring with Oilseed Rape (Brassica napus L.) Mitigates Methane (CH4) and Nitrous Oxide (N2O) Emissions in a Rice-Ratooning System in Central China
by
Lai Yao, Jie Zhu, Wei Yang, Dongzhu Zhao, Yong Zhou, Shaoqiu Li, Jiangwen Nie, Lixia Yi, Zhangyong Liu and Bo Zhu
Agriculture 2024, 14(6), 839; https://doi.org/10.3390/agriculture14060839 - 27 May 2024
Abstract
The use of oilseed rape (OS, Brassica napus L.) as a winter green manure is crucial for enhancing soil fertility and reducing chemical N application in paddy fields. However, the impacts of replacing varying amounts of chemical N with OS on CH4
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The use of oilseed rape (OS, Brassica napus L.) as a winter green manure is crucial for enhancing soil fertility and reducing chemical N application in paddy fields. However, the impacts of replacing varying amounts of chemical N with OS on CH4 and N2O emissions in paddy soils have not been well evaluated. In this study, GHG emissions, soil properties and OS decomposition in a rice-ratooning system with different OS-urea N replacement rates (0%, 25%, 50%, 75% and 100%) were investigated. Our results indicate that 84.7–90.7% of the initial C and 97.5–98.4% of the N were released during the 192-day decomposition process, and that the mineralization patterns of net C and net N in the OS residue were consistent with a single exponential decay model. The lowest CH4 emissions (9.97 g m−2) were observed at 0% OS, while the highest N2O emissions (0.40 g m−2) were observed at this level of substitution. Conversely, the highest CH4 emissions (20.71 g m−2) and lowest N2O emissions (0.07 g m−2) were observed at 100% OS. Compared to 0% substitution, 25% substitution significantly decreased GWP and GHGI without reducing rice grain yield. Environmental parameters such as soil redox, NH4+-N and residual N and C were shown to be significantly associated with CH4 emissions, whereas soil redox, NH4+-N and residual C were the main drivers of N2O emissions. In conclusion, 25% substitution of OS was the most cost-effective measure for balancing greenhouse gas emission and rice yield.
Full article
(This article belongs to the Special Issue Soil-Improving Cropping Systems for Sustainable Crop Production)
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Open AccessArticle
Identification of Conserved Pathways in Bacillus Strains Known for Plant Growth-Promoting Behavior Using a Multifaceted Computational Approach
by
Vandana Apurva Das, Budhayash Gautam, Pramod Kumar Yadav and Satendra Singh
Agriculture 2024, 14(6), 838; https://doi.org/10.3390/agriculture14060838 - 27 May 2024
Abstract
Bacillus strains have long been recognized for their beneficial interactions with plants, enhancing growth, nutrient uptake, and stress resistance. Understanding their molecular mechanisms and plant‒microbe interactions is crucial for harnessing their potential in sustainable agriculture. Here we used ten strains from the 5
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Bacillus strains have long been recognized for their beneficial interactions with plants, enhancing growth, nutrient uptake, and stress resistance. Understanding their molecular mechanisms and plant‒microbe interactions is crucial for harnessing their potential in sustainable agriculture. Here we used ten strains from the 5 Bacillus species namely Bacillus velezensis, Bacillus subtilis, Bacillus atrophaeus, Bacillus altitudinis and Bacillus amylofaciens, which are previously reported for PGPR activity. A comparative analysis of these strains was performed to determine their evolutionary relationships, which revealed that Bacillus velezensis and Bacillus amyloliquefaciens are closely related based on underlying genetic and proteomic similarities. Bacillus altitudinis strain LZP02 was the most distantly related to all the other selected strains. On the other hand, Bacillus atrophaeus strains GQJK17 and CNY01 are shown to be closely related to each other. Mauve alignment was performed to determine the genetic relationships between these strains. The LZP02 strain exhibited several unique inversions harboring important genes, such as betB, ftsW, and rodA, which are important for bacterial survival. Proteomic analysis highlighted important pathways that were conserved across these strains, including xenobiotic biodegradation and metabolism, biosynthesis of polyketides and nonribosomal pathways, and biosynthesis of secondary metabolites, all of which have been shown to be involved in plant growth promotion.
Full article
(This article belongs to the Special Issue The Role of Plant Growth-Promoting Bacteria in Crop Improvement)
Open AccessArticle
Assessment of Grassland Biomass Prediction Using AquaCrop Model: Integrating Sentinel-2 Data and Ground Measurements in Wielkopolska and Podlasie Regions, Poland
by
Ewa Panek-Chwastyk, Ceren Nisanur Ozbilge, Katarzyna Dąbrowska-Zielińska and Konrad Wróblewski
Agriculture 2024, 14(6), 837; https://doi.org/10.3390/agriculture14060837 - 27 May 2024
Abstract
This study aimed to compare remotely sensed data with in situ data using the AquaCrop simulation model for accurately monitoring growth conditions and predict grassland biomass in the north-eastern and central-western regions of Poland from 2020 to 2022. The model was calibrated using
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This study aimed to compare remotely sensed data with in situ data using the AquaCrop simulation model for accurately monitoring growth conditions and predict grassland biomass in the north-eastern and central-western regions of Poland from 2020 to 2022. The model was calibrated using input data, including daily climate parameters from the ERA5-Land Daily Aggregated dataset, crop characteristics (initial canopy cover, maximum canopy cover, and harvest index), and soil characteristics. Additionally, parameters such as the leaf area index (LAI), soil texture classes, and plant growth stages were obtained through field campaigns. The grassland’s biomass simulation results indicate that the root mean square error (RMSE) values for the north-eastern region ranged from 0.12 to 0.35 t·ha−1, while for the central-western region, they ranged from 0.07 to 0.12 t·ha−1. Overall, the outcomes obtained from Sentinel-2 data perform comparably to the in situ measurements, and in some instances, even yield superior results. This study contributes valuable insights into grass production management on farms, providing essential information and tools for managers to better understand grass growth and development.
Full article
(This article belongs to the Section Digital Agriculture)
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Open AccessArticle
Design and Experiment of Flexible Threshing Device with Variable Stiffness for Corn
by
Lin Niu, Zehao Zha, Haoran Yang, Jie Ma, Qinghao He, Yanan Wang, Yipeng Cui, Xiang Li and Duanyang Geng
Agriculture 2024, 14(6), 836; https://doi.org/10.3390/agriculture14060836 - 27 May 2024
Abstract
In order to solve the problem of the high damage rate of corn with a high moisture content in the Huanghuaihai region, according to the mechanical characteristics of corn in the Huanghuaihai region, we designed a flexible threshing device with a threshing rasp
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In order to solve the problem of the high damage rate of corn with a high moisture content in the Huanghuaihai region, according to the mechanical characteristics of corn in the Huanghuaihai region, we designed a flexible threshing device with a threshing rasp bar and variable stiffness spring as the buffer carrier, and the elements of the device were nail teeth and a flexible threshing rasp bar, which could be replaced freely. The experiment was based on the threshing rotor speed, threshing gap, and spring stiffness as the influencing factors, with the grain breakage rate and the unthreshed rate as an indicator of three-factor three-level experiments, and in October in Zibo through bench experiments, to determine the best parameter combinations. When the spring compression stiffness was 20.83 N/mm, the rotor speed was 375 r/min, and the gap of the concave plate was 45 mm, the grain breakage rate of the corn ear was 4.7%, and the unthreshed rate was 0.48%, which is in line with the relevant national standards.
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(This article belongs to the Section Agricultural Technology)
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Open AccessArticle
Study on the Effects of Different Light Supply Modes on the Development and Extracellular Enzyme Activity of Ganoderma lucidum
by
Yihan Liu, Yuan Luo, Wenzhong Guo, Xin Zhang, Wengang Zheng and Xiaoli Chen
Agriculture 2024, 14(6), 835; https://doi.org/10.3390/agriculture14060835 - 27 May 2024
Abstract
Edible fungi have certain photo-sensitivity during the mushroom emergence stage, but there have been few relevant studies on the responses of Ganoderma lucidum to different light irradiation conditions. Ganoderma lucidum were planted in an environmentally controllable mushroom room with different light supply modes
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Edible fungi have certain photo-sensitivity during the mushroom emergence stage, but there have been few relevant studies on the responses of Ganoderma lucidum to different light irradiation conditions. Ganoderma lucidum were planted in an environmentally controllable mushroom room with different light supply modes that were, respectively, continuous white light (CK), red light (R), green light (G), blue light (B), and intermittent red light (R-), green light (G-), and blue light (B-), with a total light intensity of 15 μmol·m−2·s−1 and a light/dark (L/D) period of 12 h/12 h for each treatment. The interval in intermittent light treatments was 30 min. The optimal light supply mode suitable for the growth of Ganoderma lucidum was explored by analyzing the characteristics, nutritional quality, and extracellular enzyme activity in mushrooms exposed to different light treatments. The results showed that red light (whether in continuous or intermittent supply modes) inhibited the fruiting body differentiation of Ganoderma lucidum, showing delayed differentiation or complete undifferentiation. The highest stipe length and pileus diameter of fruiting bodies were detected under G- treatment, which were, respectively, increased by 71.3% and 3.2% relative to the control. The highest weight of fruiting bodies was detected under G treatment, which was significantly increased by 21.4% compared to the control (p < 0.05). Intermittent light mode seemed to be more conducive to the size development of the fruiting body, while continuous light mode was beneficial for increasing the weight. The highest contents of crude protein and total triterpenes in pileus were detected under G treatment (significantly 14.9% and 28.1% higher than the control, respectively), while that of the crude polysaccharide was detected under G- treatment (significantly 35.7% higher than the control) (p < 0.05). The highest activities of extracellular enzymes such as cellulase, hemicellulase, laccase, lignin peroxidase, and amylase were detected in fruiting bodies subjected to G treatment, which were significantly increased by 11.9%~30.7% in the pileus and 9.5%~44.5% in the stipe. Green light might increase the weight and nutrient accumulation in the pileus of Ganoderma lucidum via up-regulating the extracellular enzyme activities. This study provides an effective light supply strategy for regulating the light environment in the industrial production of Ganoderma lucidum.
Full article
(This article belongs to the Special Issue Genetics and Breeding of Edible Mushroom)
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Open AccessArticle
Assessing Contents of Sugars, Vitamins, and Nutrients in Baby Leaf Lettuce from Hyperspectral Data with Machine Learning Models
by
Sulaymon Eshkabilov and Ivan Simko
Agriculture 2024, 14(6), 834; https://doi.org/10.3390/agriculture14060834 - 27 May 2024
Abstract
Lettuce (Lactuca sativa) is a leafy vegetable that provides a valuable source of phytonutrients for a healthy human diet. The assessment of plant growth and composition is vital for determining crop yield and overall quality; however, classical laboratory analyses are slow
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Lettuce (Lactuca sativa) is a leafy vegetable that provides a valuable source of phytonutrients for a healthy human diet. The assessment of plant growth and composition is vital for determining crop yield and overall quality; however, classical laboratory analyses are slow and costly. Therefore, new, less expensive, more rapid, and non-destructive approaches are being developed, including those based on (hyper)spectral reflectance. Additionally, it is important to determine how plant phenotypes respond to fertilizer treatments and whether these differences in response can be detected from analyses of hyperspectral image data. In the current study, we demonstrate the suitability of hyperspectral imaging in combination with machine learning models to estimate the content of chlorophyll (SPAD), anthocyanins (ACI), glucose, fructose, sucrose, vitamin C, β-carotene, nitrogen (N), phosphorus (P), potassium (K), dry matter content, and plant fresh weight. Five classification and regression machine learning models were implemented, showing high accuracy in classifying the lettuces based on the applied fertilizers treatments and estimating nutrient concentrations. To reduce the input (predictor data, i.e., hyperspectral data) dimension, 13 principal components were identified and applied in the models. The implemented artificial neural network models of the machine learning algorithm demonstrated high accuracy (r = 0.85 to 0.99) in estimating fresh leaf weight, and the contents of chlorophyll, anthocyanins, N, P, K, and β-carotene. The four applied classification models of machine learning demonstrated 100% accuracy in classifying the studied baby leaf lettuces by phenotype when specific fertilizer treatments were applied.
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(This article belongs to the Section Digital Agriculture)
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Open AccessArticle
Screening, Identification, and Fermentation of a Biocontrol Strain against Peony Southern Blight and Extraction of Secondary Metabolites
by
Peng Song, Zele Wang, Xingxin Sun, Yinglong He, Wenjing Zhang, Yunqi Yang and Pengyu Zhao
Agriculture 2024, 14(6), 833; https://doi.org/10.3390/agriculture14060833 - 26 May 2024
Abstract
A bacterial strain (WM-37) was isolated from soil and identified as Streptomyces rectiviolaceus on the basis of morphological, physiological, biochemical, and 16S rRNA characteristics. The strain was screened regarding its potential use for controlling the pathogen causing peony southern blight. To enhance the
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A bacterial strain (WM-37) was isolated from soil and identified as Streptomyces rectiviolaceus on the basis of morphological, physiological, biochemical, and 16S rRNA characteristics. The strain was screened regarding its potential use for controlling the pathogen causing peony southern blight. To enhance the secondary metabolite yield, submerged fermentation was conducted according to a single-factor trial and response surface method. Metabolite production peaked under the following conditions: 250.00 mL flask containing 100.00 mL culture medium consisting of 20.00 g·L−1 soluble starch, 3.86 g·L−1 ammonium sulfate, 0.50 g·L−1 sodium chloride, 0.50 g·L−1 dipotassium phosphate, 0.50 g·L−1 magnesium sulfate, and 0.01 g·L−1 ferrous sulfate; inoculation amount, 7.74%; temperature, 30 °C; initial pH, 7.00; incubation time, 7 days; and rotational speed, 160 rpm. The fermentation broth was absorbed by D101 macroporous resin and eluted with an ethanol-water gradient, after which the eluate fractions with antifungal compounds were collected, evaporated, and concentrated to obtain a crude extract. This extract was dissolved in methanol and separated by high-performance liquid chromatography. The active compound was identified as azelaic acid (C9H16O4) on the basis of ultra-high-resolution mass spectrometry and analyses of publicly available data. These findings suggest that Streptomyces rectiviolaceus WM-37 may be a viable biocontrol agent effective against the pathogen responsible for peony southern blight.
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(This article belongs to the Section Crop Protection, Diseases, Pests and Weeds)
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Digital Literacy Level and Formal Credit Constraints: Probit Analysis of Farm Households’ Borrowing Behavior in China
by
Ziyang Zhou, Ziwei Li, Guangyan Chen, Jinpeng Zou, Mingling Du and Fang Wang
Agriculture 2024, 14(6), 832; https://doi.org/10.3390/agriculture14060832 - 26 May 2024
Abstract
With the rapid evolution of the rural digital economy, analyzing the impact of digital literacy level on farm households’ formal borrowing is crucial for easing credit constraints and fostering rural economic growth. Leveraging the data from the 2020 China Family Panel Studies (CFPSs)
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With the rapid evolution of the rural digital economy, analyzing the impact of digital literacy level on farm households’ formal borrowing is crucial for easing credit constraints and fostering rural economic growth. Leveraging the data from the 2020 China Family Panel Studies (CFPSs) and applying binary probit models and the Karlson–Holm–Breen (KHB) method, this study delineates the positive correlation between the digital literacy level and increased formal borrowing among farm households. The findings, which were robust against endogeneity and robustness tests, underscore the role of digital literacy level in augmenting farmers’ earnings and social networks, with a notably stronger mediation by earnings. The effects are particularly significant for middle-aged and older, less educated males in the central and western regions, in contrast with younger, highly educated females in the east. This research advocates for enhancing rural digital infrastructure and education, alongside financial system reforms, to advance rural financial development and support sustainable rural revitalization.
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(This article belongs to the Section Agricultural Economics, Policies and Rural Management)
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Calibration and Testing of Discrete Elemental Simulation Parameters for Pod Pepper Seeds
by
Xingye Chen, Jing Bai, Xinzhong Wang, Weiquan Fang, Tianyu Hong, Nan Zang, Liangliang Fang and Gaoliang Wang
Agriculture 2024, 14(6), 831; https://doi.org/10.3390/agriculture14060831 - 26 May 2024
Abstract
The discrete elemental parameters of pod pepper seeds were calibrated for future numerical optimization of the pod pepper seed cleaning device. The study concentrates on calibrating the intrinsic and contact parameters of pod pepper seeds utilizing the discrete element method. Compression tests were
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The discrete elemental parameters of pod pepper seeds were calibrated for future numerical optimization of the pod pepper seed cleaning device. The study concentrates on calibrating the intrinsic and contact parameters of pod pepper seeds utilizing the discrete element method. Compression tests were performed to ascertain intrinsic parameters such as Poisson’s ratio and the seeds’ elastic modulus. The static friction coefficient and collision restitution coefficient between the seeds and steel plates were identified through incline and free-fall tests. Plackett–Burman, steepest ascent, and Box–Behnken experiments were performed to establish a second-order regression model correlating significant parameters with the angle of repose. The optimal parameter combination, based on the measured angle of repose (32.45°), yielded static friction coefficients between seeds, rolling friction coefficients between seeds, and static friction coefficients between seeds and steel plates of 0.608, 0.018, and 0.787, respectively. The two-sample t-test of the physical and simulated repose angles yielded p > 0.05, and the relative error of the physical and simulated repose angles was 0.68%, which confirmed the reliability of the calibration parameters. The findings indicate that the calibration method for pod pepper seeds effectively informs the calibration of parameters for other irregular crops.
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(This article belongs to the Special Issue Applications of Data Analysis in Agriculture—2nd Edition)
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Isolation of Bacillus velezensis from Silage and Its Effect on Aerobic Stability and In Vitro Methane Production of Whole-Plant Corn Silage
by
Chen Zhang, Zimo Zhang, Mengfan Zhu, Yongliang Wang, Tangtang Zhou, Fachun Wan, Yunhua Zhang and Lijuan Chen
Agriculture 2024, 14(6), 830; https://doi.org/10.3390/agriculture14060830 - 25 May 2024
Abstract
Once a silo has been opened, the silage inside will face challenges such as aerobic deterioration, rot, and contamination. Biocontrol bacteria, as a kind of biological antiseptic, are highly effective and natural and are gaining increasing attention. This study aimed to screen a
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Once a silo has been opened, the silage inside will face challenges such as aerobic deterioration, rot, and contamination. Biocontrol bacteria, as a kind of biological antiseptic, are highly effective and natural and are gaining increasing attention. This study aimed to screen a strain with anti-microbial activity against silage spoilage microorganisms and examine its effects on the fermentation quality, aerobic stability, in vitro digestion, and methane production of silage. Lactic acid bacteria, pathogenic and rot-causing microorganisms, were used as indicators to screen the strains for putrefactive silage. The bacteriostatic spectrum, growth performance, and tolerance to the silage environment of the strain were tested. A strain named D-2 was screened from rotten whole-plant corn silage and identified as Bacillus velezensis through physiological and biochemical tests as well as 16S rDNA sequencing. This study found that D-2 exhibits antibacterial effects on several microorganisms, including Escherichia coli, Staphylococcus aureus, Salmonella enteritidis, Aspergillus niger, Saccharomyces cerevisiae, Fusarium oxysporum, and Fusarium graminearum. However, it has no adverse effect on Lactobacillus reuteri, Enterococcus faecium, or Lactobacillus casei. D-2 can attain a stable stage within 10 h and withstand temperatures of up to 70 °C. Moreover, this study found that D-2 had a high survival rate of over 97% after 48 h in a lactic acid environment with pH 4. Freshly chopped whole-plant corn was inoculated without or with D-2 and ensiled for 60 days. The results show that D-2 inoculations increase the content of water-soluble carbohydrates, acetic acid, and propionic acid in the silage and decrease the number of yeasts and molds, the NH4+-N/TN ratio, and the pH. We also found that fermenting whole-plant corn with D-2 significantly increased the in vitro digestibility and the propionic acid content, while also significantly inhibiting methane production. After being exposed to air for 10 days, D-2 can still effectively reduce the total number of yeasts and molds, prevent the decrease in lactic acid bacteria, and inhibit the increase in the pH and NH4+-N/TN ratio of silage products. Overall, D-2 is resistant to pathogenic and rot-causing microorganisms, allowing for easy adaptation to silage production conditions. D-2 can effectively improve aerobic stability and reduce losses in the nutritional value of silage, indicating possible applications for the prevention of silage rot and methane production.
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(This article belongs to the Special Issue Silage Preparation, Processing and Efficient Utilization)
Open AccessArticle
Temporal and Spatial Variation of Agricultural and Pastoral Production in the Eastern Section of the Agro-Pastoral Transitional Zone in Northern China
by
Yajing Zhang, Ruifang Hao and Yu Qin
Agriculture 2024, 14(6), 829; https://doi.org/10.3390/agriculture14060829 - 25 May 2024
Abstract
The agro-pastoral transitional zone in northern China is an important agricultural and pastoral production base. This study focuses on the eastern section of the agro-pastoral transitional zone in northern China. Combined with spatio-temporal analysis, stepwise regression, and gray relation analysis, we analyzed the
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The agro-pastoral transitional zone in northern China is an important agricultural and pastoral production base. This study focuses on the eastern section of the agro-pastoral transitional zone in northern China. Combined with spatio-temporal analysis, stepwise regression, and gray relation analysis, we analyzed the average annual growth rate, spatio-temporal changes, and influencing factors of agricultural and pastoral production in the study area during 2000–2020. The results show that, in the past 20 years, the agricultural and pastoral production of the 50 municipal districts and counties has significantly changed, among which the agricultural production of 38 municipal districts and counties has shown an extremely significant increase. Generally, the growth rate of agricultural production is higher than that of pastoral production. Agricultural and pastoral production in the study area is influenced by socio-economic and land use/cover factors, with an average correlation degree of 0.79 and 0.88, respectively. Climate change affects agricultural production in agricultural counties, with a correlation degree of 0.85. The results of this research provide valuable insights into understanding the long-term temporal and spatial changes in agricultural and pastoral production and help to develop sound agriculture and pastoral management practices in the eastern section of the agro-pastoral transitional zone in Northern China.
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(This article belongs to the Section Agricultural Systems and Management)
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