Proceedings
Authors
| Filter results5 paper(s) found. |
|---|
1. 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 |
2. Are Agronomy Programs Preparing Professionals for Digital Agriculture? A Nationwide Curriculum Analysis in BrazilThe digital transformation of agriculture has accelerated the adoption of precision agriculture, artificial intelligence, and data-driven management tools, thereby increasing the demand for professionals equipped with technological and computational competencies. In this context, higher education in Agronomy plays a strategic role in preparing graduates to operate effectively in increasingly digitalized production systems. This study aimed to evaluate the presence of Artificial Intelligence (AI)... L. Silva, D. Gabriel |
3. Cost-Optimized NPK Fertilizer Recommendation Using Linear Programming and Mixed Integer Linear Programming for Precision AgricultureFertilizer management is one of the most cost-intensive stages of crop production, yet many small and medium-sized brazillian farmers still rely on empirical experience or generalized guidelines to make fertilization decisions. This often results in nutrient imbalances, economic inefficiency, and unnecessary environmental impact. While precision agriculture technologies such as variable-rate application systems and georeferenced soil sampling have advanced considerably, accessible computational... M. Bodanese, R. Sobjak, C.L. Bazzi, K. Schenatto, A. Sandmann |
4. Autonomous Mobile Robot for Monitoring and Control of the Cotton Boll WeevilThe cotton boll weevil (Anthonomus grandis Boheman) is the key pest of Brazilian cotton, accounting for about 12% of production costs and, together with yield losses, reaching roughly R$ 2,470 per hectare per season. Because its immature stages develop protected inside the plant, insecticides reach only the adult, which entrenches calendar-based broadcast spraying and an average of 18 full-field applications per season. Conventional scouting samples as few as 0.1 points per hectare, leaving... R. Balducci Borges, N. Smaal, P.V. Santos, W.G. Bendinelli |
5. From Area-wide Management to Site-specific and Individual Plant Management: the Evolution of Weed Control in ArgentinaSelective herbicide spraying represents one of the most significant innovations in the evolution of Precision Agriculture, enabling a shift from uniform broadcast applications toward spatially explicit and plant-by-plant management models. In a context characterized by the increasing prevalence of herbicide-resistant weed biotypes, rising input costs, and growing environmental and regulatory pressure, these technologies are becoming strategic tools to enhance input-use efficiency and improve the... I. Lo Celso, N. Ciancio, F.M. Scaramuzza |