<ul><li>This study focuses on the machine vision-based assessment of fall color changes in apple trees and its correlation with leaf nitrogen concentration.</li><li>An image dataset was collected using a ground vehicle-based stereovision sensor to quantify the change in leaf color over a five-week period in a commercial orchard.</li><li>A custom-defined metric, the 'yellowness index,' was used to estimate the proportion of yellow leaves per canopy.</li><li>The study found that the 'yellowness index' was able to capture the gradual color transition from green to yellow, and trees with lower leaf nitrogen showed an earlier color change compared to trees with higher nitrogen.</li></ul>

Machine Vision-Based Assessment of Fall Color Changes and its Relationship with Leaf Nitrogen Concentration

Discover more