Proceedings
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| Filter results6 paper(s) found. |
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1. Agronōmics: Eliciting Food Security from Big Data, Big Ideas and Small FarmsMost farmers globally could make their farms more productive; few are limited by ambient availabilities of light energy and water. Similarly the sustainability of farming practices offers large scope for innovation and improvement. However, conventional ‘top-down’ Agricultural Knowledge and Innovation Systems (AKISs) are commonly failing to maintain significant progress in either productivity or sustainability because multifarious and complex agronomic interactions thwart accurate... R. Sylvester-bradley, D. Kindred, P. Berry |
2. Evaluation of Irrigation Efficiency Using Precision Agriculture Tools on a Mandarin Orange Farm Afourer in Paysandú, UruguayEfficient water management in citrus farming requires monitoring systems that integrate real-time climate data and accurate soil moisture measurements to optimize irrigation decisions within a precision agriculture framework, accounting for spatial variability in soil water availability. The use of continuous monitoring technologies improves the efficiency of drip irrigation and reduces water losses associated with both water deficits and excesses in commercial production systems. Facing this... M.E. Cha Valdez, D. Boeno, J.I. Zapata , J. Duque |
3. PRAGMATIC - Innovative IT Platform for Yield and Cost Prediction of Agricultural ProductionThe aim of the R&D was to develop a prototype of an innovative IT platform containing algorithms for predicting yields and production costs of agricultural commodities for three reference crops, i.e.: blueberries, apples and potatoes in the supply chain from the field to the production line. The system are ... T. Wojciechowski, G. Niedbała, K. Bobran |
4. Hardware–Software Co-Design of Quantized CNN Inference for Edge AI in Precision AgriculturePrecision agriculture increasingly relies on real-time automated inspection systems to ensure crop quality and reduce manual labor in grain handling processes. Manual visual inspection, traditionally used for grain quality assessment, is inherently limited by low throughput, subjectivity, and high labor costs. To address these issues, automated vision-based inspection systems have been widely adopted in industrial environments, enabling high-throughput and consistent grain classification. Recent... E. Marañon Aguilar, F. Kastensmidt, F. Benevenuti, C. Gonzalez Aguilera |
5. Spectral Behavior of Coffee Fruit Ripeness Using a Hyperspectral CameraSelective harvesting is essential to ensure high beverage quality in coffee production; however, the coexistence of fruits at multiple ripeness stages on the same plant makes manual selection subjective, labor‑intensive, and time‑consuming. This preliminary study aimed to develop a non‑destructive method based on spectral information for the classification of Coffea arabica L. cv. Arara fruits at green (unripe) and yellow (ripe) stages, using images acquired on a laboratory bench with hyperspectral... A. Palma Diniz Baker, G. , M.D. Oliveira, E.H. Zavala, R. , M.M. Amaral, A. |
6. Agro Extensão: Extensão Rural DigitalUniversity extension plays a fundamental role in bridging the gap between academia and society, especially in the agricultural sector, where technical information can determine the success of an operation. A historical example of this relevance is Operation Tatu (1960), which was essential in transforming the agricultural model in Rio Grande do Sul, promoting the shift from rudimentary practices to a technological approach. This initiative became a landmark demonstration of the potential of university... F. Baudini, A.L. Vian, M. Wrubleski, T. , G. Lima Leal |