Journal: Scientific Reports

Article Title: Aerial high-throughput phenotyping of peanut leaf area index and lateral growth

doi: 10.1038/s41598-021-00936-w

Figure Lengend Snippet: 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).

Article Snippet: The red, green, and blue reflectance orthomosaics were exported to ArcMap (version 10.6) tool of the ArcGIS (ESRI, Redlands, CA) where polygons including entire plant rows were designed, numbered, and collated into a single shapefile to create a fishnet (Fig. ).

Techniques: Derivative Assay, Software

Journal: Scientific Reports

Article Title: Aerial high-throughput phenotyping of peanut leaf area index and lateral growth

doi: 10.1038/s41598-021-00936-w

Figure Lengend Snippet: Red–green–blue (RGB) orthomosaic of the 2019 peanut study plot with ground control points (GCPs) (the black and white checkered objects; 4 at the corners and one in the center). The orthomosaic * includes the fishnet * layer (yellow bordered polygons) as well. The panel on the left bottom with various shades from white to black is the reflectance calibration panel. Each individual peanut row is 1.83 m in length and two rows are 0.91 m apart (center to center). * 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).

Article Snippet: The red, green, and blue reflectance orthomosaics were exported to ArcMap (version 10.6) tool of the ArcGIS (ESRI, Redlands, CA) where polygons including entire plant rows were designed, numbered, and collated into a single shapefile to create a fishnet (Fig. ).

Techniques: Control, Software

Journal: Scientific Reports

Article Title: Aerial high-throughput phenotyping of peanut leaf area index and lateral growth

doi: 10.1038/s41598-021-00936-w

Figure Lengend Snippet: 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).

Article Snippet: * 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).

Techniques: Derivative Assay, Software

Journal: Scientific Reports

Article Title: Aerial high-throughput phenotyping of peanut leaf area index and lateral growth

doi: 10.1038/s41598-021-00936-w

Figure Lengend Snippet: Red–green–blue (RGB) orthomosaic of the 2019 peanut study plot with ground control points (GCPs) (the black and white checkered objects; 4 at the corners and one in the center). The orthomosaic * includes the fishnet * layer (yellow bordered polygons) as well. The panel on the left bottom with various shades from white to black is the reflectance calibration panel. Each individual peanut row is 1.83 m in length and two rows are 0.91 m apart (center to center). * 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).

Article Snippet: * 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).

Techniques: Control, Software