ISSN 2394-5125
 
2021, Vol: 8, Issue: 8
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    ANALYSIS OF AGRICULTURE AUTOMATION USING MACHINE LEARNING (2019)
    Prof. Bere Sachin Sukhadeo, Prof. Khairnar Sakharam Fakira, Prof. Dhage Shrikant Narhari, Prof. Kadam Swati Amol, Prof. Pansare Rajashree Balasaheb
    JCR. 2019: 614-618

    Abstract

    This research examines uses of machine learning to computerize agriculture, such as yield checking, water system, and trouble board. AI techniques that promise to increase effectiveness, maintainability, and efficiency on ranches include brain organizations, PC vision, and information evaluation. Due to complicated datasets, the requirement for interdisciplinary coordination, and integration with preexisting foundation, prag- matic execution steps remain. Some recommendations include the development of defensible frameworks for artificial intelligence using techniques such as crossover decision tree-brain organi- zations and extensive certifiable testing across yield types and geographic areas.

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    Volume & Issue

    Volume 6 Issue-5

    Keywords

    machine learning, agriculture, artificial intelli- gence, precision farming, robotics, automation, and sustainability
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