Machine learning unveils new insights into stress responses for plant health diagnosis

Leaf color patterns, influenced by factors such as leaf age and environmental stress, serve as indicators of plant health in agriculture. The VIS-NIR-SWIR sensor, though effective in measuring these patterns with high resolution, has been limited to assessing general plant health and phytopigment contents, not specific metabolic or signaling defects.