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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
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← Back to VOLUME 10, ISSUE 12, DECEMBER 2021

Survey of AI Enabled Smart Agricultural Techniques

Dr. Sreeraj R., Akhilkumar K.S., Jaefer, Prayagdev E., Vishnu Murali

DOI: 10.17148/IJARCCE.2021.101238

Abstract: In India, Agriculture is undoubtedly the backbone of the nation. India, is the second-largest producer of agricultural products in the world, produces more than 280 million tonnes, contributing to more than 15% of India’s GDP. Today, about 40% of the projected total yield is lost due to lack of proper care. Decline in the agricultural yield results increased commodity prices, slowing productivity and so on. Smart agricultural techniques using machine learning and deep learning, can help farmers to boost the crop yield and productivity. This paper explores various techniques for the implementation of smart agriculture.

Keywords: Smart Farming, Agriculture, Deep Learning, Machine Learning, CNN.

How to Cite:

[1] Dr. Sreeraj R., Akhilkumar K.S., Jaefer, Prayagdev E., Vishnu Murali, “Survey of AI Enabled Smart Agricultural Techniques,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.101238