Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Revolution of the Indian Agricultural Landscape using Machine Learning and Big Data Techniques: A Systematic Review Subject The topic of the resource Agriculture; Big Data; Crop yield; Data Mining; Machine Learning; Regression Description An account of the resource 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 An entity primarily responsible for making the resource Sondhi J.K.; Junankar T.; Nair A.M. Source A related resource from which the described resource is derived Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 724-727. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAC3N56670.2022.10074152" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N56670.2022.10074152</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152197255&amp;doi=10.1109%2FICAC3N56670.2022.10074152&amp;partnerID=40&amp;md5=64a4245b99202b8234bc64dba4951b08" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152197255&amp;doi=10.1109%2fICAC3N56670.2022.10074152&amp;partnerID=40&amp;md5=64a4245b99202b8234bc64dba4951b08</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547436-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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