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...
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: | |
Online Access: | https://www.mdpi.com/2077-0472/10/7/277 |
Similar Items
-
Digital Count of Corn Plants Using Images Taken by Unmanned Aerial Vehicles and Cross Correlation of Templates
by: Héctor García-Martínez, et al.
Published: (2020-03-01) -
Phenotyping of Corn Plants Using Unmanned Aerial Vehicle (UAV) Images
by: Wei Su, et al.
Published: (2019-08-01) -
Canopy Nitrogen Concentration Monitoring Techniques of Summer Corn Based on Canopy Spectral Information
by: Lu Liu, et al.
Published: (2019-09-01) -
Using Linear Regression, Random Forests, and Support Vector Machine with Unmanned Aerial Vehicle Multispectral Images to Predict Canopy Nitrogen Weight in Corn
by: Hwang Lee, et al.
Published: (2020-06-01) -
Improving Early Season Sidedress Nitrogen Rate Prescriptions for Corn
by: Jones, Justin Rodgers
Published: (2013)