MACHINE LEARNING APPLICATIONS IN AGRICULTURE 4.0 –A RENAISSANCE IN THE FIELD OF AGRICULTURE, IMPACT ON THE PRECISION AGRICULTURE AND REVOLUTION IN CROP MANAGEMENT
DOI:
https://doi.org/10.48165/iitmjbs.2024.SI.16Keywords:
IoT, precision agriculture, machine learning, artificial intelligence, traditional farming, crop disease detection, weed detection, yield prediction, crop recognition, soil management.Abstract
The paper focuses on the growth of the agricultural sector from the past to current trends and its growth in smart farming. The agriculture sector in India has successfully met the production targets set by the government and has also set new production records in almost all commodities. The paper is a bibliometric analysis of the systematic literature review of precision agriculture, including technical terms like IoT, precision agriculture, machine learning, artificial intelligence, and traditional farming. The paper discusses the various phases in the agricultural management system, including advancements from the past centuries to current trends. The study compares different machine algorithms for agriculture management in precision agriculture. The different sectors include crop disease detection, weed detection, yield prediction, crop recognition and recommendation, water management, animal welfare, livestock production, and soil management. The challenges faced by farmers are a matter of concern and have been highlighted in this paper. The future prospects are also discussed, giving India a new edge in the world.
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