Algorithms for forecasting cotton yield based on climatic parameters in Brazil
Author:
Affiliation:
1. Department of Agricultural Engineering, Federal Institute of Mato Grosso Do Sul – IFMS, Campus of Naviraí, Naviraí, MS, Brazil
2. Department of Engineering and Exact Sciences, São Paulo State University – Unesp, Jaboticabal, SP, Brazil
Funder
Coordination for the Improvement of Higher Education Personnel - Brazil
Publisher
Informa UK Limited
Subject
Soil Science,Agronomy and Crop Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/03650340.2020.1864821
Reference62 articles.
1. Application of Artificial Neural Network modeling for optimization and prediction of essential oil yield in turmeric (Curcuma longa L.)
2. Köppen's climate classification map for Brazil
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