A Highly Accurate, Low-Cost Method for Detecting and Quantifying Soybean Leaf Flipping Phenotype During Drought Stress

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Authors: Atit Parajuli
Cited by: 0

Abstract

The uploaded compressed file contains images of 240 soybean genotypes taken from both inside and outside the tents used in the study. Each genotype was replicated twice under both drought (inside) and control (outside). The images for each tent has been named as Tent(number)_inside/outside.zip where the numbers corresponds to the tent number from 1 to 6 either grown inside the tents ( as inside ) or grown outside the tents ( as outside).

Fields of Study & Subjects

Smart Agriculture and AI Soybean genetics and cultivation Leaf Properties and Growth Measurement

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 February 2026