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Yilmaz, H
García Seleme, F
Gabriel, D
Gomes, D.G
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Authors
Jotautienė, E
Karayel, D
Yilmaz, H
Grigas, A
Silva, L
Gabriel, D
Gabriel, D
Fiegenbaum, A.S
Griebeler, S.R
Franchi, M
dos Santos, N.S
Rocha, K.F
Vian, A.L
Suarez, F
Gómez Montenegro, B
Dottori, C
Alemandri, V
de Breuil, S
Bruno, C
García Seleme, F
Freitas, E
Martins Neto, J
dos Santos e Silva, P
Abud, H.F
Gomes, D.G
Secundino, V.C
Topics
Agricultural Robotics, Automation, and Mechanization
Education, Training, and Extension for Precision Agriculture
Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
Type
Oral
Poster
Year
2026
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1. Herbicide Savings and Weed Control Performance Using Green-on-Green Spot Spraying in Soybean

The conventional approach to weed control in large-scale soybean production relies on full-area herbicide spraying, resulting in high chemical input and operational costs. In this context, artificial intelligence-based spot spraying has emerged as a promising alternative to increase efficiency and reduce environmental impact. This study evaluated the performance of a green-on-green spot spraying system based on deep learning algorithms, CORTEX AI (Soybean Model v08), for post-emergence weed control... D. Gabriel, A.S. Fiegenbaum, S.R. Griebeler, M. Franchi, N.S. Dos Santos, K.F. Rocha, A.L. Vian