Proceedings :: International Society of Precision Agriculture

Proceedings

Find matching any: Reset

Garreto, W

Hurtado, S.M

G. Ferreira, G

» Add more authors

Add filter to result:

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

Garreto, W

de Almeida, S

da Silva Sousa, W

costa souza, J

Bernardo Almeida , E

Lima dos Anjos, A

NUNES, V.M

Hurtado, S.M

Almeida, I

, A

Siquieroli, W.G

Cândido, G.P

Lazzarini, L.V

Topics

UAV-Based Scouting, Imaging, and Targeted Applications

Remote and Proximal Sensing of Soils and Crops

Precision Agriculture for Sustainability and Environmental Protection

Type

Poster

Year

2026

Home » Authors » Results

Authors

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. Estimation of Soybean Yield Using Remote Sensing and Soil Physical Attributes in Subsoiled Areas Precision agriculture has incorporated these sensing and computational modeling technologies as strategic tools for monitoring crop development and estimating yield. In this context, the present study aimed to estimate soybean yield through vegetation indices obtained from satellite images, integrated with soil and plant variables, using artificial intelligence techniques. The experiment was conducted in a commercial field in the municipality of Brejo, Maranhão, in a region with a subhumid... W. Garreto, S. De Almeida, W. Da Silva Sousa, J. Costa Souza
3. Spatial Analysis of Physical and Sensory Attributes of Coffee Beans Arabica coffee (Coffea arabica L.) is one of the crops with the greatest economic and social relevance in Brazil, with beverage quality being a differential of broad commercial value. This study aimed to evaluate the spatial variability of the physical and sensory attributes of coffee beans. The study was conducted during the 2023-24 crop season in a 27-hectare plot belonging to Fazenda Mandaguari, in Indianópolis, Minas Gerais, cultivated with the Topázio cultivar under... V.M. Nunes, S.M. Hurtado, I. Almeida, A. , W.G. Siquieroli, G.P. Cândido, L.V. Lazzarini 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. Estimation of Soybean Yield Using Remote Sensing and Soil Physical Attributes in Subsoiled Areas

Precision agriculture has incorporated these sensing and computational modeling technologies as strategic tools for monitoring crop development and estimating yield. In this context, the present study aimed to estimate soybean yield through vegetation indices obtained from satellite images, integrated with soil and plant variables, using artificial intelligence techniques. The experiment was conducted in a commercial field in the municipality of Brejo, Maranhão, in a region with a subhumid... W. Garreto, S. De Almeida, W. Da Silva Sousa, J. Costa Souza

3. Spatial Analysis of Physical and Sensory Attributes of Coffee Beans

Arabica coffee (Coffea arabica L.) is one of the crops with the greatest economic and social relevance in Brazil, with beverage quality being a differential of broad commercial value. This study aimed to evaluate the spatial variability of the physical and sensory attributes of coffee beans. The study was conducted during the 2023-24 crop season in a 27-hectare plot belonging to Fazenda Mandaguari, in Indianópolis, Minas Gerais, cultivated with the Topázio cultivar under... V.M. Nunes, S.M. Hurtado, I. Almeida, A. , W.G. Siquieroli, G.P. Cândido, L.V. Lazzarini

Download paper