Proceedings
Authors
| Filter results5 paper(s) found. |
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1. 3D Position and Size Estimation of Fruits Using an Intel RealSense D435 CameraThis work addresses the development of a computer vision algorithm for an agricultural robot whose task is to harvest tomatoes in a plantation. The ability to detect fruits, as well as to estimate their 3D position and size in the world coordinate system, is fundamental for accomplishing this task. This approach has been widely discussed in the literature, especially due to the challenge of obtaining accurate estimates of the spatial coordinates of objects. This process is strongly affected by... E. Chimuando, J.A. Fabro, S.F. Pichorim |
2. Development and Field Validation of a Scalable UAV-Based Framework for Automated Cattle Counting and Herd Management in Extensive Production SystemsBrazil holds the largest commercial cattle herd in the world, with more than 230 million head, representing approximately 20% of the global population. In this context, technologies capable of optimizing herd monitoring are strategic for increasing production efficiency, reducing operational costs, and promoting sustainability in livestock systems. Among these technologies, computer vision–based systems have emerged as a promising alternative for automated animal detection and counting in... F. H. S. Sousa , T. S. Maciel, M. M. Dos Reis, R.D. Santos, A. M. Santos, A. M. S. De Souza, A. K. F. Veras, G. G. Ferreira, M. P. M. Nunes, M. C. R. Seruffo, L. C. C. Daher, A. G.m. Silva |
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. Critical Competencies for Digital and Precision Agriculture: Evidence from Literature and Stakeholder PerspectivesThe transition toward digital and precision agriculture is transforming agricultural production through the integration of artificial intelligence, sensor technologies, geospatial systems, robotics, automation, and advanced data analytics. As agricultural systems become increasingly data-intensive and technology-driven, identifying the competencies required for effective implementation has become essential. Although the literature discusses skill requirements in Agriculture 4.0 contexts, limited... J. Mattar, L. Cuque |
5. A Competency Framework for Digital and Precision Agriculture Professionals: Structure and Core DomainsThe rapid expansion of digital and precision agriculture technologies has significantly increased the complexity of contemporary agricultural production systems. The integration of technologies—including GNSS-guided machinery, geospatial analytics, sensor networks, artificial intelligence, robotics, and advanced analytics—requires professionals capable not only of operating digital tools, but also of understanding agronomic processes, systems integration, and data-driven decision-making.... J. Mattar, L. Cuque |