Identification for potato plant abiotic stress through thermal-RGB imaging based on deep learning

Abstract

Potatoes, often referred to as "earth apples," are globally cultivated crops known for their high vitamin C content, containing three times more vitamin C than apples, along with rich potassium and carbohydrates. While potatoes thrive in cold and harsh environments, they are susceptible to heat stress. Alarmingly, the International Potato Center predicts that ongoing global warming could lead to a significant decline of up to 68% in potato production by 2060. The primary goal of this research is to predict the Crop Water Stress Index (CWSI) in both the temperature gradient and conventional greenhouses and to classify stress conditions with transfer learning

Plant phenotyping relevance

熱画像・RGB画像と深層学習によりジャガイモの水ストレス指標（CWSI）を推定し、ストレス状態を分類する手法が研究の中心であるため。

Code and data availability

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