Proceedings :: International Society of Precision Agriculture

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Lopes de Brito Filho, A

Gaioli Jr, C

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Authors

Dos Reis Rodrigues, A.E

da Silva, M.A

Rodrigues Oliveira, J.D

Ribeiro Silva, G

Lopes de Brito Filho, A

da Silva Brochado, M.G

Krohn, N.G

Morlin Carneiro, F

Bernardi, A

Garcia, A.R

Guimarães, E.S

Tonato, F

Medeiros, S.R

Barioni Jr., W

Portugal, J.B

Alves, T.C

Cavalcante, W.P

Serão Filho, M

Gaioli Jr, C

Lopes de Brito Filho, A

Morlin Carneiro, F

Pereira Costa, G

Dos Santos Silva, B

Nogueira Gusmão, P.H

Pereira da Silva, R.P

Topics

Remote and Proximal Sensing of Soils and Crops

Precision Dairy, Livestock, and Animal Welfare Monitoring

Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture

Type

Poster

Oral

Year

2026

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Filter results3 paper(s) found.
1. Utilization of Proximal Remote Sensing As a Non-destructive Method for Assessing the Quality of Corn Seeds The physiological quality of corn seeds plays a key role in crop establishment. It directly influences final productivity. Although germination and vigor tests are well established, they have practical limitations. These tests are time-consuming. They require laboratory infrastructure and can involve destructive procedures. These factors limit their use in situations demanding faster, scalable assessments. In this scenario, proximal remote sensing has gained attention as a practical, non-destructive... A.E. Dos Reis Rodrigues, M.A. Da Silva, J.D. Rodrigues Oliveira, G. Ribeiro Silva, A. Lopes De Brito Filho, M.G. Da Silva Brochado, N.G. Krohn, F. Morlin Carneiro Download paper
2. Digital Livestock Management Solution for Cattle Identification, Traceability, and Real-time Monitoring Brazil is a global player in the beef industry with the world's largest commercial bovine herd, exceeding 230 million head, and leads the international market, accounting for approximately 25% of the global beef trade, reaching over 150 international markets. The combination of edaphoclimatic diversity, high-performance genetics, rigorous sanitary protocols, and the adoption of technological framework for tropical livestock accounts for decoupling of Brazilian ranching from extensive, low-productivity... A. Bernardi, A.R. Garcia, E.S. Guimarães, F. Tonato, S.R. Medeiros, W. Barioni Jr., J.B. Portugal, T.C. Alves, W.P. Cavalcante, M. Serão Filho, C. Gaioli Jr Download paper
3. Estimating Peanut Losses Using Machine Learning with Soil and Weather Data Mechanized peanut harvesting is an important phase of the production system, directly affecting both production costs and crop yield. However, due to interactions among soil conditions, plant characteristics, and machine performance, this operation is carried out under challenging conditions that may result in high levels of loss. These losses are classified as visible when pods remain on the soil surface after digging and as invisible when they are incorporated into the soil profile, making them... A. Lopes De Brito Filho, F. Morlin Carneiro, G. Pereira Costa, B. Dos Santos Silva, P.H. Nogueira Gusmão, R.P. Pereira Da Silva Download paper

Filter results3 paper(s) found.

1. Utilization of Proximal Remote Sensing As a Non-destructive Method for Assessing the Quality of Corn Seeds

The physiological quality of corn seeds plays a key role in crop establishment. It directly influences final productivity. Although germination and vigor tests are well established, they have practical limitations. These tests are time-consuming. They require laboratory infrastructure and can involve destructive procedures. These factors limit their use in situations demanding faster, scalable assessments. In this scenario, proximal remote sensing has gained attention as a practical, non-destructive... A.E. Dos Reis Rodrigues, M.A. Da Silva, J.D. Rodrigues Oliveira, G. Ribeiro Silva, A. Lopes De Brito Filho, M.G. Da Silva Brochado, N.G. Krohn, F. Morlin Carneiro

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2. Digital Livestock Management Solution for Cattle Identification, Traceability, and Real-time Monitoring

Brazil is a global player in the beef industry with the world's largest commercial bovine herd, exceeding 230 million head, and leads the international market, accounting for approximately 25% of the global beef trade, reaching over 150 international markets. The combination of edaphoclimatic diversity, high-performance genetics, rigorous sanitary protocols, and the adoption of technological framework for tropical livestock accounts for decoupling of Brazilian ranching from extensive, low-productivity... A. Bernardi, A.R. Garcia, E.S. Guimarães, F. Tonato, S.R. Medeiros, W. Barioni Jr., J.B. Portugal, T.C. Alves, W.P. Cavalcante, M. Serão Filho, C. Gaioli Jr

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3. Estimating Peanut Losses Using Machine Learning with Soil and Weather Data

Mechanized peanut harvesting is an important phase of the production system, directly affecting both production costs and crop yield. However, due to interactions among soil conditions, plant characteristics, and machine performance, this operation is carried out under challenging conditions that may result in high levels of loss. These losses are classified as visible when pods remain on the soil surface after digging and as invisible when they are incorporated into the soil profile, making them... A. Lopes De Brito Filho, F. Morlin Carneiro, G. Pereira Costa, B. Dos Santos Silva, P.H. Nogueira Gusmão, R.P. Pereira Da Silva

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