Figure 2
From: Aerial high-throughput phenotyping of peanut leaf area index and lateral growth
Flowchart of the process for aerial estimation of leaf area index (LAI) and lateral growth (LG). A RGB sensor is used to collect aerial images based on a flight plan. The aerial mages are used to recreate the whole experimental plot orthomosaic*. Rectangular shapes are created over peanut rows in a fishnet* layer. The fishnet is used to extract reflectance from each of the reg, green, and blue band. The reflectance are used to derive vegetation indices (VIs). The VIs are subjected to multiple linear regression and artificial neural network regression as predictors for LAI and LG. The different models derived in the process are Reg-1, Reg-2, ANN-1, and ANN-2 for LAI estimation; and Reg-3, Reg-4, ANN-3, and ANN-4 for LG estimation. *Orthomosaic was done using Pix4Dmapper Version 4.2.26 software (Prilly, Switzerland) and Fishnet was created using ArcMap (version 10.6) tool of the ArcGIS (ESRI, Redlands, CA).
