Proceedings :: International Society of Precision Agriculture

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Barbedo, J.G

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Authors

Martins, T.M

Tetila, E.C

Barbedo, J.G

Felipe, J.C

Zhao, L

da Silva, J

Evangelista, S.R

Barbedo, J.G

Romani, L.A

Topics

UAV-Based Scouting, Imaging, and Targeted Applications

Decision Support Systems, Cloud Platforms, and Open Data Solutions

Type

Poster

Oral

Year

2026

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Filter results2 paper(s) found.
1. Enhancing Weed Detection in Corn Crops Through Attention-based Models and Curated Datasets Weed infestation is one of the leading causes of global agricultural productivity losses, directly impacting production costs, environmental sustainability, and food security. In precision agriculture, automated weed detection from aerial imagery enables site-specific herbicide application, reducing chemical overuse and environmental impact. Deep learning-based computer vision techniques have been widely adopted for this purpose, with Convolutional Neural Networks (CNNs) historically dominating... T.M. Martins, E.C. Tetila, J.G. Barbedo, J.C. Felipe, L. Zhao Download paper
2. Challenges in Integrating Digital Agriculture Solutions Advances in digital agriculture have increased the supply of solutions to improve the management of agricultural activity. However, the increasing number of solutions in quantity and variety also imposes barriers to their adoption by small and medium-sized family farmers reasoned by higher exposition to technical and financial limitations. High cost, low digital literacy, and little perception of the usefulness are some of the obstacles. These can be further exacerbated if producers need to... J. Da Silva, S.R. Evangelista, J.G. Barbedo, L.A. Romani Download paper

Filter results2 paper(s) found.

1. Enhancing Weed Detection in Corn Crops Through Attention-based Models and Curated Datasets

Weed infestation is one of the leading causes of global agricultural productivity losses, directly impacting production costs, environmental sustainability, and food security. In precision agriculture, automated weed detection from aerial imagery enables site-specific herbicide application, reducing chemical overuse and environmental impact. Deep learning-based computer vision techniques have been widely adopted for this purpose, with Convolutional Neural Networks (CNNs) historically dominating... T.M. Martins, E.C. Tetila, J.G. Barbedo, J.C. Felipe, L. Zhao

Download paper

2. Challenges in Integrating Digital Agriculture Solutions

Advances in digital agriculture have increased the supply of solutions to improve the management of agricultural activity. However, the increasing number of solutions in quantity and variety also imposes barriers to their adoption by small and medium-sized family farmers reasoned by higher exposition to technical and financial limitations. High cost, low digital literacy, and little perception of the usefulness are some of the obstacles. These can be further exacerbated if producers need to... J. Da Silva, S.R. Evangelista, J.G. Barbedo, L.A. Romani

Download paper