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Söderström, M
Sysskind, M.N
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Authors
Söderström, M
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
Spatial Variability in Crop, Soil and Natural Resources
Artificial Intelligence (AI) in Agriculture
Type
Poster
Oral
Year
2012
2024
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Authors

Filter results2 paper(s) found.

1. Local And Regional Soil Clay Mapping Using Gamma Ray Spectrometry

... M. Söderström

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