Comparison of weather-based wheat yield forecasting models for different districts of Uttarakhand using statistical and machine learning Techniques

The prediction of crop yield before harvest is crucial for facilitating the formulation and implementation of policies about food safety, transportation cost, and import-export, storage and marketing of agro-products. The weather plays a crucial role in crop growth and development. Therefore, model...

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Bibliografische Detailangaben

Hauptverfasser:	PARUL SETIYA, ANURAG SATPATHI, AJEET SINGH NAIN, BAPPA DAS
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Association of agrometeorologists 2022-08-01
Schriftenreihe:	Journal of Agrometeorology
Schlagworte:	Forecast Model Stepwise Multiple Linear Regression Artificial Neural Network Least Absolute Shrinkage and Selection Operator Elastic Net Ridge Regression
Online-Zugang:	https://journal.agrimetassociation.org/index.php/jam/article/view/1571
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