An intelligent decision support system for crop yield prediction using hybrid machine learning algorithms

Background: In recent times, digitization is gaining importance in different domains of knowledge such as agriculture, medicine, recommendation platforms, the Internet of Things (IoT), and weather forecasting. In agriculture, crop yield estimation is essential for improving productivity and decision...

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Detalles Bibliográficos
Autores principales: Anbananthen, Kalaiarasi Sonai Muthu, Subbiah, Sridevi, Chelliah, Deisy, Sivakumar, Prithika, Somasundaram, Varsha, Velshankar, Kethaarini Harshana, Khan, M.K.A.Ahamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8689410/
https://www.ncbi.nlm.nih.gov/pubmed/34987773
http://dx.doi.org/10.12688/f1000research.73009.1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8689410/
https://www.ncbi.nlm.nih.gov/pubmed/34987773
http://dx.doi.org/10.12688/f1000research.73009.1

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