Above-ground Biomass Wheat Estimation: Deep Learning with UAV-based RGB Images

Evaluation of biomass is essential in agriculture to delineate crop management practices, and this is usually done manually, which is time-consuming and destructive. This work proposes an artificial neural network and convolutional neural network to estimate the above-ground biomass (AGB) of wheat u...

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Bibliographic Details
Main Authors: Lincoln Vinicius Schreiber, João Gustavo Atkinson Amorim, Leticia Guimarães, Debora Motta Matos, Celso Maciel da Costa, Adriane Parraga
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Applied Artificial Intelligence
Online Access:http://dx.doi.org/10.1080/08839514.2022.2055392