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Griebeler, S.R
Garnitz, J
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Authors
Gandorfer, M
Vinzent, B
Pfrombeck, J
Garnitz, J
Maidl, F
Gabriel, D
Fiegenbaum, A.S
Griebeler, S.R
Franchi, M
dos Santos, N.S
Rocha, K.F
Vian, A.L
Topics
Profitability and Success Stories in Precision and Digital Agriculture
Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture
Type
Oral
Poster
Year
2026
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1. Economic and Ecological Performance and Farm-level Adoption of Market-available Tools for Variable-rate Nitrogen Management in a Region of Small-to-medium-scale Agriculture

The proposed contribution combines the results of extensive multi-year field trials on variable rate-nitrogen fertilization (VRN) of winter wheat with the results of a series of farmer surveys, and findings drawn from a government investment subsidy program. All three data sources (field trials, surveys, investment subsidy program) cover roughly the same period and agricultural area. The field trials were conducted from 2023 to 2025, the surveys in 2020, 2022, and 2025, and data on the investment... M. Gandorfer, B. Vinzent, J. Pfrombeck, J. Garnitz, F. Maidl

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