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  • 标题:Crop Prediction using Machine Learning
  • 本地全文:下载
  • 作者:M.G.Swetha ; Darshan M Tanoj M ; Madhusudhan S
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2021
  • 卷号:3
  • 期号:7
  • 页码:3616-3620
  • DOI:10.35629/5252-030734353450
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:Agriculture is one of the fundamental wellsprings of life in India. Without farming, the economy of the nation will breakdown. For quite a long time, agribusiness has been related with the creation of fundamental harvests. Farming is the primary wellspring of public pay for most agricultural nations and India being a non-industrial nation requires horticulture for its supportability. Agribusiness contributes around 20% to the public Gross domestic product. Our nation is additionally advancing in the field of science and innovation. The main objective that we are attempting to accomplish here is modernization of farming utilizing AI ideas. There are numerous cutting-edge methods utilized in horticulture however the greater part of them requires capital venture or IoT gadgets. We are attempting to help ranchers in settling on choice on which harvest to become so that ideal benefit is gotten with least speculation or by chopping down superfluous investment. Naïve – Bayes calculation is utilized to anticipate the harvest. Considering variables like soil, climate, temperature, precipitation and so on, an AI model is planned.
  • 关键词:Agriculture;Cropprediction;NaïveBayes;Soilsitesuitability;Croprequirement
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