Corn grain yield forecasting by satellite remote sensing and machine‐learning models-Reference-Cited by-同舟云学术

Corn grain yield forecasting by satellite remote sensing and machine‐learning models

Published:2022-08-03 Issue:5 Volume:114 Page:2956-2968
ISSN:0002-1962
Container-title:Agronomy Journal
language:en
Short-container-title:Agronomy Journal

Author:

Pinto Antonio Alves¹^ORCID,Zerbato Cristiano¹,Rolim Glauco de Souza¹,Barbosa Júnior Marcelo Rodrigues¹,Silva Luis Fernando Vieira da²,Oliveira Romário Porto de¹

Affiliation:

1. Dep. of Rural Engineering and Exact Sciences, School of Agricultural and Veterinarian Sciences São Paulo State Univ. (UNESP) Jaboticabal, São Paulo Brazil

2. College of Agriculture ‘Luiz de Queiroz’, Soil Science and Plant Nutrition Dep. Univ. of São Paulo Av. Pádua Dias, 11 Piracicaba SP 13418900 Brazil

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/agj2.21141

Reference48 articles.

1. Crop Yield Prediction through Proximal Sensing and Machine Learning Algorithms

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5. Use of UAS Multispectral Imagery at Different Physiological Stages for Yield Prediction and Input Resource Optimization in Corn

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