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| Filter results13 paper(s) found. |
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1. Delineation of Agroecological Zones for Rainfed Summer Crops in Eastern UruguayThe delineation of agroecological zones is a key step for understanding spatial variability in crop performance and for supporting the assessment and transferability of agricultural technologies. Even within relatively small regions, strong gradients in climate and soil properties can lead to substantial differences in crop yield potential and stability, particularly in rainfed systems. This study aims to delineate agroecological zones for rainfed summer crops in eastern Uruguay using an inte... D. Gaso, I. Macedo |
2. 3D Spatial Resolution of Nutrient and Isotopic Soil Mapping: A Baseline for Precision Soil ManagementAlthough there is a need to increase agricultural productivity, this must occur without compromising soil health and/or surrounding ecosystems and biodiversity. In Westmorland and Furness, England, a feasibility study is being developed to implement a scientific, collaborative, and interdisciplinary strategy involving farmers, scientists, and environmental authorities. The goal is to optimize nutrient management and promote climate-smart agriculture through evidence-based cooperation bet... G.Y. Sanchez Vazquez |
3. Comparative Analysis of Technical and Economic Feasibility of Pepper (Capsicum Annuum) Cultivation Under Artificial Lighting Vs. Protected EnvironmentContemporary agriculture is undergoing a technological disruption marked by the transition from natural biological dependence to an industrial precision science. At the heart of this shift, the cultivation of pepper (Capsicum annuum) in Controlled Environment Agriculture (CEA) settings utilizes artificial lighting to transform electromagnetic radiation into a programmable input, eliminating solar variability. This study conducted a comparative technical and economic feasibility analysis betwe... L. De Arruda Viana, A. Luiz De Carvalho, R. Ivo Soares Avelar |
4. Towards Precision Agriculture with Electrochemical Sensors for Detecting Dopamine in Plants and FruitsCathecolamines are essential neurotransmitters that regulate the central nervous system of animals, while also acting as direct modulators in plants, coordinating antioxidant responses and ionic balance regulation. Dopamine (DA) is an essential catecholamine not only for animals but also plays a critical regulatory role in plants, acting as a potent antioxidant and growth modulator under abiotic stresses such as drought and salinity or pathogen attacks and helps neutralize free radicals ... L.M. Gonçalves, B. Vasconcellos Lopes, B.B. Gallo, A. La Rosa, D.A. Fruchtenicht, C. Miler, P. Silveira, N.L. Carreno |
5. Flow Rate and Discharge Coefficient Behavior of Spray Nozzles in a PWM SystemPulse width modulation (PWM) technology has been widely used in variable-rate pesticide applications, allowing flow control by varying the duty cycle while maintaining constant pressure. However, the intermittent operation of the flow may alter the hydraulic behavior of spray nozzles, influencing both the effective flow rate and the discharge coefficient (Cd). In this context, the objective of this study was to evaluate the behavior of flow rate and discharge coefficient of different spray no... B. Costalonga Vargas, M.R. Furtado Júnior, A.L. Coelho, S. Basilio |
6. Optimal Hyperspectral Band Selection for UAV-Based Aflatoxin Risk Prediction in Peanut FieldSouth Georgia’s humid subtropical climate and well-drained sandy soils make Georgia the leading peanut (Arachis hypogaea L.) producing region in the United States, accounting for more than half of the nation's production. However, aflatoxin contamination caused by Aspergillus fungi remains a significant concern, posing serious food safety risks and causing substantial economic losses. Rising temperatures and humidity from the climate crisis create ideal conditions for fungi... N. Niva, L. Lacerda, G. Vellidis, S. Maktabi, M. Ardigueri |
7. Detection of Aggressive Group Behavior of Laying Hens in Free HenhousesHarmful social behaviors among laying hens, such as feather pecking and aggressive chasing, pose a significant challenge to animal welfare and productivity in cage-free poultry systems. While cage-free housing allows hens to express natural behaviors, it also increases the risk of injurious interactions that can lead to stress, injury, and economic losses. Existing mitigation strategies, including environmental enrichment and housing design improvements, reduce but do not eliminate harmful be... Y. Heller, S. Druyan, A. Godo, V. Bloch |
8. Precision Livestock Farming (PLF) in Laying Quail Farming: Monitoring Environmental ConditionsIn poultry farming, Precision Livestock Farming (PLF) has presented a strong positive impact, helping producers manage, monitor and control both poultry and egg production operations. Furthermore, PLF can solve problems that affect the welfare of birds and/or provide early warning of such problems, allowing producers to take action in the early stages. In this context, sensors can be used to monitor and control environmental parameters that directly affect the welfare of birds and, consequent... D.D. Sampaio, L.P. Rodrigues, J.S. Ribeiro, A.B. Gomes |
9. Digital Livestock Management Solution for Cattle Identification, Traceability, and Real-time MonitoringBrazil is a global player in the beef industry with the world's largest commercial bovine herd, exceeding 230 million head, and leads the international market, accounting for approximately 25% of the global beef trade, reaching over 150 international markets. The combination of edaphoclimatic diversity, high-performance genetics, rigorous sanitary protocols, and the adoption of technological framework for tropical livestock accounts for decoupling of Brazilian ranching from extensive, low... A. Bernardi, A.R. Garcia, E.S. Guimarães, F. Tonato, S.R. Medeiros, W. Barioni Jr., J.B. Portugal, T.C. Alves, W.P. Cavalcante, M. Serão Filho, C. Gaioli Jr |
10. Estimation of Broiler Chicken Mass using Computer Vision with Convolutional Neural NetworkIn poultry farming, monitoring bird mass during rearing is crucial, as it enables farmers to adjust parameters such as feed supply and lighting to better control weight gain. However, the methods currently used in poultry houses, i.e. manual weighing or poultry scales, present drawbacks, including the inability to weigh a representative number of birds or the frequent maintenance required to keep the equipment clean. The present work aims to validate an alternative method for estimating the m... I.D. Azevedo, A.T. Salton, R.D. Castro, L.V. Erthal |
11. Digital Transformation and Efficiency Gains in Intensive Livestock Systems: Evidence from Brazilian FeedlotsPrecision livestock farming has emerged as central strategies to enhance productive efficiency, reduce waste, and improve the sustainability of agricultural systems. In beef cattle feedlots, digital technologies such feeding automation sensors is particularly relevant. The technology reduces feed waste, improves the planning of input purchases and cost control, and reduces the need for manual labor for weighing and distributing feed, allowing the team to focus on strategic activities. In the ... L.C. David, M.J. Carrer, M. , H.M. Souza Filho |
12. Automatic Detection of White Shrimp (Litopenaeus Vannamei) Feeding Activity Using Acoustic SignalsIn the cultivation of white shrimp (Litopenaeus vannamei), feeding management is one of the main challenges, accounting for approximately 40% to 60% of operational costs. Inaccurate feed management not only increases production costs but also compromises water quality, leading to environmental impacts. Shrimp produce acoustic events known as clicks, which makes it possible to use these signals as indicators of feeding activity. This study analyzes acoustic data collected ov... F. Costa Filho, L. Affonso Guedes, S. Peixoto, I. Sánchez-gendriz |
13. Comparative Evaluation of Ground Point Classifiers in LiDAR Point Clouds for DEM Generation in Pasture AreasThe classification of ground points in LiDAR point clouds is an essential step for generating reliable Digital Terrain Models (DTMs), particularly in livestock production systems based on pastures. Despite methodological advances in forested and urban environments, studies specifically addressing ground classification in pasture areas remain limited, where the proximity between the forage canopy and the ground surface makes altimetric distinction between classes challenging. The heterogeneous... |