Corn Grain Yield Estimation from Vegetation Indices, Canopy Cover, Plant Density, and a Neural Network Using Multispectral and RGB Images Acquired with Unmanned Aerial Vehicles

Corn Grain Yield Estimation from Vegetation Indices, Canopy Cover, Plant Density, and a Neural Network Using Multispectral and RGB Images Acquired with Unmanned Aerial Vehicles

Corn yields vary spatially and temporally in the plots as a result of weather, altitude, variety, plant density, available water, nutrients, and planting date; these are the main factors that influence crop yield. In this study, different multispectral and red-green-blue (RGB) vegetation indices wer...

Full description

Bibliographic Details
Main Authors: Héctor García-Martínez, Héctor Flores-Magdaleno, Roberto Ascencio-Hernández, Abdul Khalil-Gardezi, Leonardo Tijerina-Chávez, Oscar R. Mancilla-Villa, Mario A. Vázquez-Peña
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Agriculture
Subjects:
vegetation indices
UAV
neural network
corn plant density
corn canopy cover
yield prediction
Online Access:https://www.mdpi.com/2077-0472/10/7/277

Internet

https://www.mdpi.com/2077-0472/10/7/277

Similar Items