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What is Risk-Averse Crop Input Optimization about?

This document discusses a deep ensemble of convolutional neural networks (CNNs) designed for risk-averse optimization of crop inputs in precision agriculture. The proposed model incorporates uncertainty quantification to enhance yield predictions and maximize expected net revenue while addressing farmers

Author

tekinalperen26

Language

EN