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water quality parameters and predict cyanobacteria blooms in the Tietê system reservoirs. Activities: 1. Develop machine learning models for estimating water quality parameters via remote sensing; 2
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Paulo Research Foundation, exhibits a strong interdisciplinary character, with activities involving remote sensing, artificial intelligence, and the use of sensors for real-time irrigation monitoring and
Searches related to remote sensing
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