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

García-Martínez, Héctor; Flores-Magdaleno, Héctor; Ascencio-Hernández, Roberto; Khalil Gardezi, Abdul; Tijerina-Chávez, Leonardo; Raúl Mancilla-Villa, Óscar; Alberto Vázquez Peña, Mario

doi:10.3390/agriculture10070277

Public

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

Published in Agriculture • Jul 8, 2020

Authors:

Héctor García-Martínez

Héctor Flores-Magdaleno

Roberto Ascencio-Hernández

Abstract

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...

Subject

Canopy

Sowing

Correlation coefficient

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