Revolution of the Indian Agricultural Landscape using Machine Learning and Big Data Techniques: A Systematic Review
subject: Agriculture; Big Data; Crop yield; Data Mining; Machine Learning; Regression
description: The world of Big Data has been rapidly expanding into the domains of Engineering and Machine Learning. The biggest challenge in the Big Data landscape is the incompetence of processing vast amounts of data in a time-efficient manner. The agriculture domain has so long only relied on traditional method for yield prediction. This can be bettered by using novel Machine Learning techniques and innovative thinking. The study provides the review of most of the techniques already implemented in the ML, Big Data and Agriculture domain- traditional and modern- while focusing on highlighting the difference in accuracy between the traditional methods and the more advanced methods. 2022 IEEE.
creator: Sondhi J.K.; Junankar T.; Nair A.M.
source: Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 724-727.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2022-01-01
rights: Restricted Access
relation: ISBN: 978-166547436-8
format: Online
language: English
type: Conference paper
coverage: Sondhi J.K., CHRIST( Deemed to Be University), Department of Data Science, Pune, India; Junankar T., CHRIST( Deemed to Be University), Department of Data Science, Pune, India; Nair A.M., CHRIST( Deemed to Be University), Department of Data Science, Pune, India