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Passone, N
Fiegenbaum, A.S
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Authors
Kovacs, P
Tesch, C
Passone, N
Gabriel, D
Fiegenbaum, A.S
Griebeler, S.R
Franchi, M
dos Santos, N.S
Rocha, K.F
Vian, A.L
Topics
Precision Agriculture for Sustainability and Environmental Protection
Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture
Type
Oral
Poster
Year
2026
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1. Crop Production and Nutrient Management with Strip-tillage in the Northern Great Plains

Conventional tillage is still the dominant tillage practice in the eastern third of South Dakota (USA). Producers are often facing wind and water soil erosion in this part of the state. Strip-tillage can offer an alternative production option that could lower erosion potential between cash crops, while maintaining the yield potential. In addition strip-tillage allows a same-pass nutrient placement. The research objectives are to compare tillage and fertilizer placement methods in a corn (Zea... P. Kovacs, C. Tesch, N. Passone

2. 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