Proceedings :: International Society of Precision Agriculture

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S. Maciel, T

Silva, L

Silva, F

Santos, P.V

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Authors

H. S. Sousa , F

S. Maciel, T

M. dos Reis, M

Santos, R.D

M. Santos, A

M. S. de Souza, A

K. F. Veras, A

G. Ferreira, G

P. M. Nunes, M

C. R. Seruffo, M

C. C. Daher, L

G.M. Silva, A

Silva, L

Gabriel, D

Balducci Borges, R

Smaal, N

Santos, P.V

Bendinelli, W.G

Topics

UAV-Based Scouting, Imaging, and Targeted Applications

Education, Training, and Extension for Precision Agriculture

Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture

Type

Poster

Oral

Year

2026

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Filter results3 paper(s) found.
1. Development and Field Validation of a Scalable UAV-Based Framework for Automated Cattle Counting and Herd Management in Extensive Production Systems Brazil 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 Brazil The 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. Autonomous Mobile Robot for Monitoring and Control of the Cotton Boll Weevil The 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 Download paper

Filter results3 paper(s) found.

1. Development and Field Validation of a Scalable UAV-Based Framework for Automated Cattle Counting and Herd Management in Extensive Production Systems

Brazil 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 Brazil

The 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. Autonomous Mobile Robot for Monitoring and Control of the Cotton Boll Weevil

The 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

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