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Rossi, C
Esquivel, W
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Authors
Ortega, R.A
Reyes, J.F
Esquivel, W
Orellana, J
Rossi, C
Almeida, S.L
Sysskind, M.N
Moreno, L.A
Felipe dos Santos, A
Lacerda, L
Vellidis, G
Pilcon, C
Orlando Costa Barboza, T
Topics
Precision Nutrient Management
Artificial Intelligence (AI) in Agriculture
Type
Oral
Year
2010
2024
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1. Evaluation Of A Controlled Release N-P Fertilizer Using A Modified Drill For Variable Rate Fertilization

Base NP or NPK fertilization is a common practice in cereal production in Chile. Usually, a physical NPK blend is band applied with the seed at planting with the drill. Normal fertilizer rates vary from 400 to 500 kg ha-1; however, there is a tendency in the market to move from physical blend towards chemical blends (monogranule) and, more recently, to controlled release fertilizers (CRF). The CRF are usually recommended at very low rates, varying from 70 to 120 kg ha-1, however this rates are... R.A. Ortega, J.F. Reyes, W. Esquivel, J. Orellana

2. Combining Remote Sensing and Machine Learning to Estimate Peanut Photosynthetic Parameters

The environmental conditions in which plants are situated lead to changes in their photosynthetic rate. This alteration can be visualized by pigments (Chlorophyll and Carotenoids), causing changes in plant reflectance. The goal of this study was to evaluate the performance of different Machine Learning (ML) algorithms in estimating fluorescence and foliar pigments in irrigated and rainfed peanut production fields. The experiment was conducted in the southeast of Georgia in the United States in... C. Rossi, S.L. Almeida, M.N. Sysskind, L.A. Moreno, A. Felipe dos santos, L. Lacerda, G. Vellidis, C. Pilcon, T. Orlando costa barboza