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Using Multioutput Learning to Diagnose Plant Disease and Stress Severity
2021
Complexity
Early diagnosis of leaf diseases is a fundamental tool in precision agriculture, thanks to its high correlation with food safety and environmental sustainability. It is proven that plant diseases are responsible for serious economic losses every year. The aim of this work is to study an efficient network capable of assisting farmers in recognizing pear leaf symptoms and providing targeted information for rational use of pesticides. The proposed model consists of a multioutput system based on
doi:10.1155/2021/6663442
fatcat:4obgov7dkbaypp3mut3nbdi3om