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Intelligent Crop Recommendation System Using Machine Learning

Authors: Prof. Usha Nandwani; Mr. Amit Omprakash Kanoujiya; Mr. Kundan Dnyaneshwar Godse; Mr. Prathamesh Vijay Kawde;

Intelligent Crop Recommendation System Using Machine Learning

Abstract

Agriculture has a utmost part in the socioeconomic structure of India. In a country where about 58 percent of the populace works in agriculture, selecting the right crop for the soil using conventional and non-scientific approaches is a serious challenge. Farmers occasionally made the wrong crop choices based on the properties of the soil, the planting season, and the location. This results in tone- murder, quitting the husbandry field, moving towards communal areas for livelihood. To overcome this issue, this disquisition work has proposed a system to help the farmers in crop selection by considering all the factors like sowing season, soil, and geographical position. likewise, In emerging nations, perfection husbandry, which focuses on point-specific crop operation, is also being carried out using current agricultural technologies

Keywords

Agriculture, Crop Management, Soil, Farmers, Socioeconomic

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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