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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

Agriculture Crop Enhancing Identification and Classification using Machine Learning Techniques

Prayagkumar Patel, Dr. Anilkumar Suthar

DOI: 10.17148/IJARCCE.2022.114103

Abstract: Crop identification and classification are the keystone of satisfactory agricultural development. Crop yield prediction has been a topic of interest for producers, consultants, and agricultural related organizations. Many Techniques are used for crop yield prediction, including supportive decisions on what crops to grow and what to do during the growing period of the crops. In this paper, we performed a Literature survey on Yield prediction with different machine learning algorithms for satellite images with Climatic Parameters, also we survey on Wheat yield prediction using different machine learning algorithm and advanced sensing Techniques, also we survey on how to perform Measurement and Calibration of Plant-Height.

Keywords: Crop identification, Crop Classification, Yield prediction, Machine Learning.

How to Cite:

[1] Prayagkumar Patel, Dr. Anilkumar Suthar, “Agriculture Crop Enhancing Identification and Classification using Machine Learning Techniques,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.114103