A comprehensive review of data mining in the agricultural sector in India

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Published: Mar 1, 2024
DOI: https://doi.org/10.29070/g2syer82
Keywords:
Agriculture, Irrigation System, Data Mining, Techniques, Challenges

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Authors

Rohit Kumar Raghuwanshi

Research Scholar, Department of Computer Application, LNCT University, Bhopal, Madhya Pradesh

Ravindra Kumar Tiwari

Associate Professor, Department of Computer Application, LNCT University, Bhopal, Madhya Pradesh

Abstract

India's agricultural production is second to none in the world. A large part of India's social and economic fabric is based on agriculture, the country's most populous industry. The agricultural sector is increasingly adopting data-driven technologies to enhance productivity, sustainability, and efficiency. Data mining techniques play a crucial role in analyzing vast agricultural datasets to extract meaningful patterns and insights. Nowadays, agricultural businesses can generate massive amounts of data, and it's crucial to use data mining tools to discover useful trends. With the use of data mining tools, we may uncover patterns in large amounts of data, which can then be utilised to aid farmers in crop planning. By providing a comprehensive overview of data models in agricultural data mining, this paper aims to guide researchers and practitioners in selecting appropriate methodologies for efficient and sustainable agricultural data management.

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Issue

Vol. 21 No. 1 (2024): Journal of Advances in Science and Technology (JAST)

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