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.

PDF | DOI: 10.17148/IJARCCE.2021.101238

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