New algorithm improves accuracy of smartphone-based crop leaf area measurements.
The article discusses a new method to improve the accuracy of measuring leaf area index (LAI) of crops using smartphone images. The researchers developed a shape-matching algorithm to estimate LAI more effectively, resulting in a significant reduction in errors compared to traditional methods. The new algorithm provided more consistent LAI values over time, aligning closely with actual measurements. This advancement in crop LAI measurement using smartphones could lead to faster and more accurate data extraction, benefiting agricultural research and monitoring vegetation changes in different environments.