IoT and Machine Learning Based Crop Suggestion System

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IoT and Machine Learning Based Crop Suggestion System

Asst Prof Spoorthi B M1

1 Assistant Professor, SBC First grade college for women, Davangere

Abstract

The practise of analysing and extracting meaningful information from enormous amounts of data is referred to as data mining. Data mining is used in a wide range of industries, including banking, retail, medicine, agriculture, and so on. In agriculture, data mining is utilised to investigate the various biotic and abiotic factors that influence crops. Agriculture is India's most important industry, providing the majority of work possibilities. One of the most common issues that Indian farmers confront is choosing the right crop for their soil. As a result, they are experiencing a major drop in output. Precision agriculture has provided farmers with a solution to this problem. Agriculture with pinpoint accuracy Precision agriculture is a modern agricultural strategy that uses research data on soil features, soil types, and crop yield data to recommend the best crop to produce based on site-specific parameters to farmers. Precision agriculture is gaining popularity.

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