Cluster-based photography and modeling integrated method for an efficient measurement of cassava leaf area.

ABSTRACT: Leaf area (LA) and biomass are important agronomic indicators of the growth and health of plants. Conventional methods for measuring the LA can be challenging, time-consuming, costly, and laborious, especially for a large-scale study. A hybrid approach of cluster-based photography and modeling was, thus, developed herein to improve practicality. To this end, data on cassava palmate leaves were collected under various conditions to cover a spectrum of viable leaf shapes and sizes. A total of 1,899 leaves from 3 cassava genotypes and 5 cultivation conditions were first assigned into clusters by size, based on their length (L) and width (W). Next, 111 representative leaves from all clusters were photographed, and data from image-processing were subsequently used for model development. The mod

SUBMITTER: Thaiprasit J 

PROVIDER: S-EPMC10588870 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature