Search Results (11)

Integrated approaches such as the WEF nexus (water–energy–food) have been key to measuring the efficiency of production systems. In southern Brazil, where extensive livestock farming and integrated agricultural systems coexist in anthropized natural grasslands, such an assessment is crucial for balancing production and conservation. This research aimed to assess the sustainability of different livestock systems in Brazil’s Pampa biome from the perspective of the WEF nexus. One hundred and twenty-one systems were analyzed and divided into extensive livestock systems (ELSs) and integrated livestock systems (ILSs). The MESMIS methodology was used to construct and measure 37 WEF nexus indicators. The data were analyzed using a raincloud diagram and compared using Student’s t-test. In terms of water, the results showed that the ELS was more sustainable in terms of the scope of production. In terms of energy, the ELS stood out in the scope of the sustainability of mechanical energy use. The ILS was superior in terms of social and associative participation in the food nexus, while the ELS stood out in terms of sustainable production management. In general, in both systems, the sustainability indices for the water nexus were optimal, but the situation was alarming for the energy and food nexus. This research contributes by applying the WEF nexus to the analysis of the sustainability of livestock systems, offering a replicable model for other natural grassland regions. Full article

Engaging the public is a common practice in science disciplines and is deeply rooted in the discipline of entomology. These efforts to engage specific target groups within the general public are well studied, especially extension efforts to engage farmers and agricultural stakeholders, but this is not the case for K-12 educational spaces. Here, we conducted a scoping review to (1) determine the characteristics of entomology outreach efforts engaging K-12 populations and (2) identify opportunities for improvement based on the synthesis of those characteristics. We systematically searched five databases to identify 42 publications relevant to the parameters of this project. Analysis of characteristics indicated that entomology outreach efforts in K-12 classrooms tend to be reflective, are more often published in educationally focused journals, and rarely evaluate the interventions employed. Opportunities for improvement were identified from these trends, and from them we suggest that the practice of K-12 outreach benefits from (i) publishing in entomology-focused journals, (ii) including non-academic authors, (iii) evaluating interventions, (iv) including student data, and (v) considering axes of diversity and inclusion. Full article

The ecotone zone, located between the Cerrado and Amazon biomes, has been under intensive anthropogenic pressures due to the expansion of commodity agriculture and extensive cattle ranching. This has led to habitat loss, reducing biodiversity, depleting biomass, and increasing CO₂ emissions. In this study, we employed an artificial neural network, field data, and remote sensing techniques to develop a model for estimating biomass in the remaining native vegetation within an 18,864 km² ecotone region between the Amazon and Cerrado biomes in the state of Mato Grosso, Brazil. We utilized field data from a plant ecology laboratory and vegetation indices from Sentinel-2 satellite imagery and trained artificial neural networks to estimate aboveground biomass (AGB) in the study area. The optimal network was chosen based on graphical analysis, mean estimation errors, and correlation coefficients. We validated our chosen network using both a Student’s t-test and the aggregated difference. Our results using an artificial neural network, in combination with vegetation indices such as AFRI (Aerosol Free Vegetation Index), EVI (Enhanced Vegetation Index), and GNDVI (Green Normalized Difference Vegetation Index), which show an accurate estimation of aboveground forest biomass (Root Mean Square Error (RMSE) of 15.92%), can bolster efforts to assess biomass and carbon stocks. Our study results can support the definition of environmental conservation priorities and help set parameters for payment for ecosystem services in environmentally sensitive tropical regions. Full article

Identifying individual pigs is crucial for efficient breeding, health management, and disease control in modern farming. Traditional animal face identification methods are labor-intensive and prone to inaccuracies, while existing CNN-based pig face recognition models often struggle with high computational demands, large sizes, and reliance on extensive labeled data, which limit their practical application. This paper addresses these challenges by proposing a novel, decoupled approach to pig face recognition that separates detection from identification. This strategy employs a detection model as a pre-processing step, significantly reducing the need for extensive re-annotation for new datasets. Additionally, the paper introduces a method that integrates offline knowledge distillation with a lightweight pig face recognition model, aiming to build an efficient and embedding-friendly system. To achieve these objectives, the study constructs a small-scale, high-quality pig face detection dataset consisting of 1500 annotated images from a selection of 20 pigs. An independent detection model, trained on this dataset, then autonomously generates a large-scale pig face recognition dataset with 56 pig classes. In the face recognition stage, a robust teacher model guides the student model through a distillation process informed by a knowledge distillation loss, enabling the student model to learn relational features from the teacher. Experimental results confirm the high accuracy of the pig face detection model on the small-scale detection dataset and the ability to generate a large-scale dataset for pig face recognition on unlabeled data. The recognition experiments further verify that the distilled lightweight model outperforms its non-distilled counterparts and approaches the performance of the teacher model. This scalable, cost-effective solution shows significant promise for broader computer vision applications beyond agriculture. Full article

The cultivation of agricultural extension talent is key to sustainable agricultural development because it can help create unique economic relationships, add new knowledge and skills to traditional agriculture, identify marketing advantages in emerging markets, and promote the transition to a sustainable society. This study identified the activated brain regions and thought patterns of agricultural extension students when they performed numerical, spatial, and verbal intelligence tasks. The cerebral activity of the student participants was captured through electroencephalography to analyze their activated brain regions and thought patterns during the problemidentification and resolution-reaching phases. A total of 36 participants were recruited and divided into high-creativity (HC) and low-creativity groups to analyze differences in their thought patterns. The results indicated that numeric problem solving activated the frontoparietal network and was associated with a high level of self-generated thought. The function of evaluating creativity was inhibited in the HC group, and the participants engaged in divergent semantic processing during the numeric task. Spatial problem solving activated the frontal regions and was associated with intensive visual search tasks. The HC group exhibited suppressed creativity evaluation and analogical reasoning. Verbal problem solving activated the frontoparietal regions and was associated with verbal memory, semantic-based word processing, and self-generated thought. Creative associations in the verbal task were enhanced in the HC group. This study adopted innovative approaches to address a complex topic that has not been thoroughly investigated but is essential for the theoretical development of both neurocognitive science and agricultural sustainability. Full article

International consensus has been reached for the 2030 Agenda, and governments have adopted measures for the gradual implementation of Sustainable Development Goals (SDGs). In this implementation, education plays a crucial role. Recently, the extent to which Education for Sustainable Development (ESD) has become the norm in national curricula, teacher education, and student assessment has been a focus of extensive research. The present study introduces the geography curriculum and the reform of the National College Entrance Examination (NCEE) in China in the 2000s. A global indicator framework for SDGs is used to analyze sustainable development (SD) content and characteristics in NCEE geography papers. Findings reveal that SD accounts for an average of 71% of score points among the 24 sets of papers. Sustainable agriculture, terrestrial ecosystems, settlements, and water are well reflected in questions, especially water-related ecosystems, resilient agricultural practices, transportation system, tourism, desertification, and degraded land and soil. Sustainable development questions have the characteristics of setting open questions, paying attention to question situation, being close to real life, being moderately difficult, paying attention to regional SD and human-nature relationship, and diversifying question-setting patterns. According to the analysis of papers, SD plays an important role in geography education. Full article

This study examines the university–community alliance with regard to experiential learning activities that may be used to enhance the competencies of agricultural extension postgraduate students (AEPS). Through research and alliance, university education provides agricultural extension students with ideal learning spaces to explore cause-related social, economic, and sustainability aspects of agriculture. The objectives of the study were for the AEPS to work on community farms for between six to eight weeks, to identify production challenges, and to attempt to solve problems using a participatory action research (PAR) approach. Students collected data daily, using parameters that included types of agro-enterprise, agricultural practices, observation and control of pests and diseases, identification, and control of weed infestation types, control of predators, and management of various security challenges. Social media were also used to share posts (pictures and videos) of the various project activities with the public for discussion and knowledge sharing. Findings show that there was an improved relationship between the students and their community collaborators. All participants mutually benefited from the programme; students gained indigenous farming knowledge from the farmers, while farmers benefited from the scientific approaches to solving common farming problems employed by the students—mostly improvised technologies with local content. Both the students and the farmers learned from the knowledge shared by various followers on Facebook, who gave suggestions to address some of the challenges posted on social media. The programme advocates the need to shift from a mostly rigid, conventional curriculum to a more dynamic, interactive one, which embraces active experimentation with theoretical knowledge. It underscores the significance of experiential learning for developing students’ technical competencies. The success of the programme could influence curriculum development and re-design to accommodate more experience-based modules. Full article

Saffron, comprising of dried stigmas of the plant known as Crocus sativus, is one of the most important and scantly cultivated agricultural products. It has been used as a precious spice for the last at least 3500 years. Due to its numerous medicinal qualities and pharmacological applications, it is considered as a “golden condiment”, and its demand and consumptions has risen over a period of time. Although efforts are continuously being made to enhance the productivity in the traditional areas and promote the cultivation of saffron in the newer areas, there are several constraints hindering these efforts. Prevalence of corm rot is one such limiting factor which results in the reduction in saffron production and decline in the area under its cultivation. The disease not only reduces the yield substantially, but also adversely affects the production of daughter corms. Complete understanding and knowledge about the disease is still lacking due to the inadequate information about its etiology and epidemiology. Moreover, due to the non-availability of resistant genotypes and lack of improved cultural practices, presently no effective and sustainable management strategies are available. This review article gives an overall account of the history and impact of saffron corm rot, its present status, yield losses caused by it, dynamics of the pathogens associated with the disease, their survival and dispersal, factors influencing disease intensity, epidemiology and sustainable management strategies. As comprehensive information on the disease is presently not available, an attempt has been made to review the current knowledge regarding corm rot of saffron. The information about the disease discussed here can eventually be beneficial for the growers, students, researchers, plant protection organizations, development departments, extension workers, policy makers, government agencies and public organizations. Full article

Bringing up conservation awareness among key stakeholders is essential for water management and it requires motivation and dialogue in order to achieve local and global environmental sustainability. Water management and agriculture must be in agreement to guarantee current and future multiple uses of water. This paper presents the role of outdoor education as a way for citizens to get involved in territory demands. This study-case of participatory monitoring of Macabu River Basin has been carried out since 2012 in Trajano de Moraes, Rio de Janeiro State, Brazil. Firstly, a bibliographic review and search of historical documents offered the basis to the project “River Macabu in action: history, knowledge and life”. It was aimed at linking land use to water quality and involved students from nine different schools. The relationship between surface water and hydrologic cycle was observed through monitoring rainfall at nine pluviometers installed along 70 km of river length, and the water quality at eleven collection points. The project strategy focused on experiencing historical and geographic contexts and understanding the nature’s goods as a heritage of affective value before endowing it with economic one. The project was triggered after the agreement of various societal segments and an effective sharing for the adequacy of different ways of execution. In the first few months the farmers’ resistance to the project had been overcome as they were sensitized by relatives involved in it. After some time, most farmers got connected to territory and were able to understand the state of the river as an extension of their own choices. Then, conservation practices in agriculture became more frequent mainly in the upper part of the watershed acting as links between the urban and the rural population. The methodology developed in this project was acknowledged as a citizenship solution for water by “Market of Solutions” in the 8th World Water Forum held in 2018. The engagement of young people has been noticed in different forums such as the National Conference on Environment. The farmers’ practical knowledge associated to hands-on education and effective participation in actions for water management actions were considered fundamental to the citizens’ comprehension of the environmental conservation. The results showed the benefits from the farmers and their children’s involvement in the management of water and territory. The participation of family farmers in the River Basin Committees is considered highly relevant to the fulfilment of their legal role as core forums of the water management. Full article

Several animal welfare issues persist in practice despite extensive research which has been linked to the unwillingness of stakeholders to make changes. For example, most farmers do not perceive pig aggression to be a problem that requires action despite the fact that stress and injuries are common, and that several solutions exist. Frequent exposure to animal suffering could affect farmer responses to distressed animals. This study investigated for the first time whether this occurs, using pig aggression as a focus. Using video clips, 90 pig farmers judged the severity of aggression, level of pig exhaustion and the strength of their own emotional response. Their judgments were compared to objective measures of severity (pigs’ skin lesions and blood lactate), and against control groups with similar pig experience (10 pig veterinarians) and without experience (26 agricultural students; 24 animal science students). Famers did not show desensitization to aggression. However, all groups underestimated the outcome of aggression when they did not see the fight occurring as compared to witnessing a fight in progress. We suggest that farmers be provided with evidence of the economic and welfare impact of aggression as indicated by lesions and that they be advised to score lesions on affected animals. Full article

This paper examines the relationship between the Antarctic Oscillation (AAO), cold waves and occurrence of frosts in the state of Santa Catarina, Brazil, during the winter quarter. Research on this topic can assist different spheres of society, such as public health and agriculture, since cold waves can influence and/or aggravate health problems and frosts can inflict economic losses especially in the agricultural sector. For the purpose of this paper, cold wave is considered as the event in which the daily average surface air temperature was at least two standard deviations below the average value of the series on the day and for two consecutive days or more. The data on the average air temperature and frost occurrences are provided by the Company of Agricultural Research and Rural Extension of Santa Catarina/Center for Environmental Information and Hydrometeorology (EPAGRI/CIRAM). The AAO was subjected to statistical analysis using significance tests for the averages (Student’s t-test) and variances (F-test) with a significance level of α = 5%. The results show that cold waves are unevenly distributed in the agroecological zones of Santa Catarina. It is found that the AAO is associated with the occurrence of frosts (in the agroecological zones represented by the municipalities of Itajaí and São José) in the state of Santa Catarina. Full article