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...

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Bibliografiske detaljer

Principais autores:	Héctor García-Martínez, Héctor Flores-Magdaleno, Roberto Ascencio-Hernández, Abdul Khalil-Gardezi, Leonardo Tijerina-Chávez, Oscar R. Mancilla-Villa, Mario A. Vázquez-Peña
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2020-07-01
Serier:	Agriculture
Fag:	vegetation indices UAV neural network corn plant density corn canopy cover yield prediction
Online adgang:	https://www.mdpi.com/2077-0472/10/7/277
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