Identification of Disease and Nutrition Deficiency in Crop: A Review


Authors : Ashish Patel; Vedant Shivnekar; Mihir Soni; Heni Vyas; Shivam Soni;

Volume/Issue : Volume 6 - 2021, Issue 11 - November

Google Scholar : http://bitly.ws/gu88

Scribd : https://bit.ly/3dwyBSw

Farming is one of the most important areas that influences a country’s economic growth. In country like India, majority of the people are dependent on agriculture for their livelihood. Several new technologies, such as Machine Learning and Deep Learning, are being executed into agriculture so that it is easier for farmers to produce and take full advantage of their yield. Improving Agriculture, Enlightening Lives, Cultivating Crops to make Farmer’s Rise revenue. The objective of this paper is Identification of Disease, Nutrition Deficiency in Crop, Recommendation of Crop, Fertilizer. We have used stateof-the-art machine learning and deep learning technologies to help Farmer’s guide through the entire farming processes. Make well-informed decisions to recognize the demographics of your area to know the factors that affect your crop and keep them healthy for a super awesome successful yield.

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