In situ remote sensing as a strategy to predict cotton seed yield

In situ remote sensing as a strategy to predict cotton seed yield

Show other versions (1)

Crop harvest scheduling and profits and losses predications require strategies that estimate crop yield. This work aimed to investigate the contribution of phenological variables using path analysis and remote sensing techniques on cotton boll yield and to generate a model using decision trees that...

Full description

Bibliographic Details
Main Authors: Fabio Henrique Rojo Baio, Eder Eujácio da Silva, Pedro Henrique Alves Martins, Carlos Antônio da Silva Junior, Paulo Eduardo Teodoro
Format: Article
Language:English
Published: Universidade Federal de Uberlândia 2019-11-01
Series:Bioscience Journal
Subjects:
precision agriculture
path analysis
decision trees
gossypium hirsutum
Online Access:http://www.seer.ufu.br/index.php/biosciencejournal/article/view/42261

Internet

http://www.seer.ufu.br/index.php/biosciencejournal/article/view/42261

Similar Items