文章基本信息

标题：CROP YIELD PREDICTION BASED ON INDIAN AGRICULTURE USING MACHINE LEARNING
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作者：T.Aravind ; K.R. Yoghaa Prieyaa
期刊名称：International Journal of Early Childhood Special Education
电子版ISSN：1308-5581
出版年度：2022
卷号：14
期号：4
页码：401-408
DOI：10.9756/INT-JECSE/V14I4.50
语种：English
出版社：International Journal of Early Childhood Special Education
摘要：The middle objective of collect yield appraisal is to achieve higher cultivating harvest creation and many spread out models are exploited to extend the yield of gather creation. Nowadays, ML is being involved in general in view of its adequacy in various regions like deciding, deficiency ID, plan affirmation, etc. The ML estimations moreover help to additionally foster the collect yield creation rate when there is a disaster in bad conditions. The ML estimations are applied for the gather decision system to decrease the hardships crop yield creation paying little heed to redirecting environment.
关键词：Crop yield prediction;Lasso;Kernel Ridge;ENet;Stacked Regression