2026 July - 46 articles
The article presents the results of research on the justification of the working unit parameters and the structural scheme of the chisel for loosening stubble fields. It was established that, according to the criterion of minimum draft resistance, th...
Remote sensing has become an important tool for crop monitoring and precision agriculture, yet its applications in sugar beet production remain fragmented across sensing platforms, target traits and modelling strategies. This review synthesises the d...
Wear prediction for agricultural soil-engaging components is computationally demanding when discrete element method (DEM) simulations are repeatedly used for design evaluation and operating-parameter screening. In this study, an Archard-inspired Gaus...
The precision of oil palm fresh fruit bunch (FFB) ripeness classification directly determines the extraction efficiency and chemical quality of the resulting crude palm oil (CPO). Traditional manual inspection at reception ramps remains labour-intens...
Modern dairy farms continuously record individual cow milk yields, yet turning these records into on-demand forecasts requires a multi-step data-to-model pipeline that natural language alone cannot drive. We study large language model (LLM) orchestra...
Accurate, high-throughput quantification of rice panicles is important for yield estimation and breeding-oriented rice phenotyping. However, unmanned aerial vehicle (UAV)-based panicle detection remains challenging because flight-altitude variation p...
Biochar and poultry litter have been proposed as soil amendments to improve soil health in coarse-textured agricultural soils, yet their field performance under southeastern U.S. conditions remains inconclusive. This two-year field study evaluated fi...
Sorting apples by product category is a key stage of harvest preparation, especially for small and medium-sized farms, where traditional manual sorting leads to high labor intensity. This article presents the development and experimental study of a c...
The common bean (Phaseolus vulgaris L.) is an important food crop in tropical agriculture. However, fertilization and soil management methods for common beans require further investigation to reduce production costs and increase sustainability. Furth...
Accurate short-term forecasts of banana productivity can improve harvest scheduling, packing-capacity allocation, and export logistics, yet commercial forecasts often deviate substantially from realized yields. Objective: We evaluated whether tuned e...
The prediction of specialty coffee quality remains a central challenge for value addition in the agricultural sector. This study presents a computational approach to model the complex sensory quality of Arabica coffee (Coffea arabica L.) using synthe...
The development of reliable computer vision systems for poultry slaughterhouses requires robust segmentation methods capable of handling challenging industrial conditions. This study evaluated the structural behavior, computational performance, and c...
During the growth phase, pumpkin crops are susceptible to a range of diseases. However, persistent bottlenecks remain in practical field operations, particularly the difficulty of detecting lesions at multiple scales and low identification efficiency...
The adoption of Circular Economy approaches in agriculture offers opportunities to transform agricultural waste into valuable resources. This study was conducted within the TANGO-Circular project, which implemented Rural Lab training activities in fo...
Small-scale anaerobic digestion offers a decentralized pathway for organic waste recovery; however, its performance is often evaluated through fragmented modules that do not ensure formal traceability between design, operation, sustainability assessm...
Commercial-scale dairy farms produce large volumes of manure, posing environmental, animal health, and public health risks due to persistent pathogens and the accumulation of organic pollutants. This field-scale study evaluated the effects of covered...
Accurate detection of grain pests is important for ensuring food security. The existing detection algorithms still face challenges such as low precision, high false positives, and missed detection when identifying storage pests due to the small size,...
Autonomous navigation of harvesters in hilly and mountainous terrain faces two major challenges: sensor discrepancies among multiple sources and depth distortion caused by terrain slopes. This paper proposes a tightly coupled vision–inertial&nd...
Soil spatial variability is a key driver of tree development in perennial crops, and its characterisation is essential for precision orchard management. Against this background, soil–canopy relationships were investigated in a Citrus reticulata...
The broiler industry plays a crucial role in global food security and faces sustainability challenges that drive research aimed at assessing the environmental impacts of production. In this context, the objective of this study was to evaluate the env...
Following the application of biotic and abiotic systemic resistance inducers, which are enzymes related to plant defense, different responses are observed after infection with pathogens. Research into alternative methods using resistance inducers is...
Conventional wheat planters often suffer from poor uniformity and stability in sowing depth. To address these issues, a new sowing depth adjustment method based on soil coverage regulation was proposed, and the corresponding working parameters were e...
Image segmentation is a critical step in computer vision systems for phytosanitary diagnosis in cacao production. However, the reliability of classical segmentation methods remains insufficiently assessed under real field conditions, where images cap...
The elimination of toxic and synthetic binders from the manufacture of fibreboards and particleboards is important, considering environmental and health implications. The utilization of agricultural waste for the manufacture of boards is also benefic...
Accurate tomato detection in greenhouse imagery is essential for robotic harvesting, yield estimation, and crop monitoring, yet visual clutter, fruit overlap, partial occlusion, and variable illumination remain challenging for object detectors. Altho...
This study proposed an artificial intelligence framework for red tilapia weight-range classification from UAV-based aerial imagery using two hybrid deep learning models, namely Hybrid CNN-XGBoost and Hybrid EfficientNet-B0-XGBoost. Two image sizes we...
Diluted solar saltworks effluent, applied via fertigation, can contribute to circular economy strategies by recycling nutrients and reducing the environmental impact associated with the disposal of hypersaline effluents. However, its adoption in drip...
Sweet sorghum is a promising crop for bioethanol production in semi-arid regions, due to its tolerance to drought and salinity, where conventional energy crops face limitations. This study aimed to evaluate the agronomic performance of sweet sorghum...
This study presents a critical historical, bibliometric, and technological overview of the evolution of postharvest science, emphasizing the transition from classical physiology-based approaches to emerging predictive and technology-driven systems. S...
Recent advances in artificial intelligence (AI), machine learning (ML), deep learning (DL), and remote sensing technologies have transformed agricultural monitoring, precision farming, and climate-resilient decision-making. However, the widespread ad...
The next generation of agriculture mechanisation lies in the integration of autonomy, connectivity, and intelligence. This systematic review presents a conceptual, integrated engineering framework for safe and intelligent autonomy in agriculture trac...
Climate change is increasingly constraining agricultural productivity by intensifying drought, accelerating soil degradation, and increasing pest and disease pressure. In this context, biostimulants are emerging as sustainable tools to improve crop r...
Thai aromatic coconut faces persistent breeding challenges arising from limited genetic diversity, complex trait trade-offs, and increasing climate vulnerability. These constraints highlight the need for comprehensive phenotypic characterization to i...
Charal (Chirostoma spp.) is a small pelagic fish of high nutritional and economic importance in central Mexico. However, its high moisture content and rapid post-harvest deterioration result in substantial losses in artisanal fisheries. Solar drying...
To address the low efficiency and high subjectivity of manual inspection of Astragalus slices, as well as the limited fine-grained detection accuracy caused by the visual similarity between the characteristic radial “chrysanthemum heart”...
Efficient deep learning systems are increasingly essential for automated quality inspection in the agri-food industry. This work systematically investigates the impact of optimized data-loading and augmentation pipelines on both training efficiency a...
Supplemental light-emitting diode (LED) lighting is essential for greenhouse crop production when solar radiation is insufficient, but it also contributes substantially to operating costs. Conventional strategies based on fixed photosynthetic photon...
Sustainable crop production in nutrient-poor sandy soils requires fertilization strategies that improve nutrient uptake while reducing environmental impact. This study evaluated anaerobic cattle manure digestate and carbon dot biostimulants as altern...
The use of nondestructive technologies combined with machine learning has emerged as a promising approach for estimating structural and productive traits in agricultural systems. This study evaluated the potential of Unmanned Aerial Vehicle (UAV) ima...
Herbicide overuse remains a major challenge in sugar beet production because of its environmental and economic impacts. This study addresses three key gaps in UAV-based weed mapping: the lack of leakage-aware benchmarks for North African sugar beet i...
Sugarcane harvester performance varies substantially with field geometry, crop, and operator factors, yet separating these sources from telematics data while preserving engineering interpretability remains a methodological gap. This study models fiel...
Stevia (Stevia rebaudiana Bertoni) is an important source of natural sweeteners. Since its commercial value depends on steviol glycosides, quality assessment primarily involves quantifying these compounds in leaves and shoots. While chromatography is...
Rather than cooling an entire facility, local area cooling—achieved by placing simple-shaped heat exchangers near plants—could be an effective, low-energy climate regulation strategy for agricultural fields in greenhouses. In this study,...
Digital Elevation Models (DEMs) provide essential information for decision-making in precision agriculture. This study evaluated the altimetric quality of DEMs generated by Remotely Piloted Aircraft (RPA) platforms, the influence of flight direction,...
Pastures are the primary food source for cattle, yet their productivity is often limited by management practices and water scarcity. In this context, approaches capable of representing nonlinear relationships and handling uncertainties can support su...
Timely detection and monitoring of diseases in sweet potato crops are important for hunger alleviation and food security. This study aimed to evaluate the efficacy of the optimized field spectrometric reflectance thresholds in spatially partitioning...
