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Silva, V.S
Khot, L.R
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Authors
Khot, L.R
Ehsani, R
Albrigo, G
Campoy, J
Wellington, C
Swen, W
Camergo Neto, J
Silva, V.S
Silva, E.S
Silva, D.O
Oliveira, M.F
Tavares, A.C
Negrini, R.P
Mendes, L.A
Topics
Precision Horticulture
Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture
Type
Poster
Oral
Year
2012
2026
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1. Validation of Variable Rate Spray Decision Rules in Intricate Micro-Metrological Conditions

This study evaluated validity of modified spray decision rules formed to operate axial fan airblast sprayer retrofitted for use in citrus production. The sprayer was field tested in a spraying... L.R. Khot, R. Ehsani, G. Albrigo, J. Campoy, C. Wellington, W. Swen, J. Camergo Neto

2. Satellite Embedding-Based Corn Yield Prediction Using AutoML and Explainable AI

Accurate, spatially explicit yield mapping underpins many precision agriculture decisions (e.g., variable-rate inputs and zone management), yet reliable yield monitor data are not always available and can be difficult to standardize across operations. Satellite-based yield models are often built from hand-crafted vegetation indices or phenology metrics, which may limit transferability across fields and years. Here, we evaluated a pixel-level corn yield prediction workflow that uses Satellite Embedding... V.S. Silva, E.S. Silva, D.O. Silva, M.F. Oliveira, A.C. Tavares, R.P. Negrini, L.A. Mendes