Study of Various Machine Learning Algorithms for Yield Forecasting- The Comparative study of Crop Yield Forecasting Model

Autor:	Vaishali P. Jadhav, Monisha
Rok vydání:	2021
Předmět:	Work (electrical) Computer science business.industry Crop yield Yield (finance) Artificial intelligence Machine learning computer.software_genre business Algorithm computer Predictive modelling Field (computer science)
Zdroj:	2021 International Conference on Communication information and Computing Technology (ICCICT).
DOI:	10.1109/iccict50803.2021.9510048
Popis:	This paper proposes a comparative study of various crop yield prediction models. This research work reveals the importance of machine learning algorithms to evaluate the yield. Lots of works are done in the agricultural field to predict the yield of the various crops. This paper presents some of the yield prediction models to analyze the existing work and innovate the new idea to predict the yield very accurately.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d076c5b903801903c67748cb9a1377bd https://doi.org/10.1109/iccict50803.2021.9510048 Zobrazit plný text záznamu