Abstract: Many states faces uncertainty in agriculture which decreases its production. With more population and area, more productivity should be achieved but it cannot be reached. Agricultural factors and parameters make the data to get insights about the Agri-facts. Growth of IT world drives some highlights in Agriculture Sciences to help farmers with good agricultural information. The common difficulty present among the Indian farmers are they don’t opt for the proper crop based on their soil necessities. Because of this productivity is affected. This provides a farmer with sort of options of crops which will be cultivated. Agricultural issues like crop prediction, rotation, water requirement, fertilizer requirement and protection can be solved. To implement such an approach, crops are recommended based on its climatic factors and quantity. Data Analytics paves a way to evolve useful extraction from agricultural database. Crop Dataset has been analyzed and recommendation of crops is done based on productivity and season.
Crop Dataset Agricultural Database IT World Fertilizer Requirement Agricultural Issues Indian Farmers Water Requirement Climatic Factors Crop Water Requirement Machine Learning
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Introducing Weekly Round-ups!Beta
Round-ups are the summaries of handpicked papers around trending topics published every week. These would enable you to scan through a collection of papers and decide if the paper is relevant to you before actually investing time into reading it.
Climate change Research Articles published between Sep 19, 2022 to Sep 25, 2022
Sep 26, 2022
Articles Included: 5
Disaster Prevention and Management ISSN: 0965-3562 Article publication date: 20 September 2022 This paper applies the theory of cascading, interconnec...Read More
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