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