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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 4, APRIL 2022

Survey of Agriculture Production Optimization Engine Using Data Science with the Help of Machine Learning Predictive Model

Asha Mahiske, Dr. Tryambak Hiwarkar

DOI: 10.17148/IJARCCE.2022.11473

Abstract: In the economic sector agriculture plays a vital role. Day by day the population is increasing on a large scale with this increases the demand of food. The early methods used by farmers are not sufficient enough to fulfill today’s requirement, thus new methods are invented which in return brings employment for people. Machine learning Technology in agriculture has helped humans a lot such as identifying particular climate for particular crop similarly, it’s soil type, pH value and water supply to the crop. The project consists of implementing a new method for different crop at similar time for larger productivity by predicting it accurately. In this paper we have studied various techniques presented by respected authors using Machine Learning and given below are the comparison between their respective technologies. Keyword: Agriculture Production Optimization Engine, Palm oil, Crop Production, Crop Prediction, Machine Learning

How to Cite:

[1] Asha Mahiske, Dr. Tryambak Hiwarkar, “Survey of Agriculture Production Optimization Engine Using Data Science with the Help of Machine Learning Predictive Model,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11473