Biophysical characteristics of soybean estimated by remote sensing associated with artificial intelligence

Biophysical characteristics of soybean estimated by remote sensing associated with artificial intelligence

The biophysical characteristics of vegetative canopies, such as biomass, height, and canopy diameter, are of paramount importance for the study of the development and productive behavior of crops. Faced with a scarcity of studies aimed at estimating these parameters, the objective of this study was...

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Bibliographic Details
Main Authors: Franciele Morlin Carneiro, Mailson Freire de Oliveira, Samira Luns Hatum de Almeida, Armando Lopes de Brito Filho, Carlos Eduardo Angeli Furlani, Glauco de Souza Rolim, Antonio Sergio Ferraudo, Rouverson Pereira da Silva
Format: Article
Language:English
Published: Universidade Federal de Uberlândia 2022-03-01
Series:Bioscience Journal
Subjects:
artificial neural networks
active optical sensor
glycine max l. machine learning.
vegetation index.
Online Access:https://seer.ufu.br/index.php/biosciencejournal/article/view/55925

Internet

https://seer.ufu.br/index.php/biosciencejournal/article/view/55925

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