Healthy Farm: Leaf Disease Estimation and Fer...

Healthy Farm: Leaf Disease Estimation and Fertilizer Recommendation System using Machine Learning

Author Name : Swapnil Jori, Rutuja Bhalshankar, Dipali Dhamale, Sulochana Sonkamble

ABSTRACT

Every day we come across some news related to agricultural issues. Precision Agriculture is one of the best solutions for solving these issues with growing technology.  It automates almost all the tasks of farmer by educating him about his field and about current status of market. It is economical solution as no labor is required for field monitoring. At home farmer can monitor his field. In developed country precision agriculture is used by farmer but in India farmers are not using it due to many reasons.  Varying environmental changes affects crop yield.  Precision agriculture can help Indian farmer to solve their problem. Agriculture is the most important and earliest profession in India. As the financial system of India is relayed on farming production, the extreme concern of food production is essential.

The taxonomy and identification of crop infection have the foremost technical and economic importance in the Agricultural Industry. However, disease detection needs incessant observing of specialists which might be prohibitively costly in big farms region. Automatic recognition of leaf diseases is essential to research themes as it may benefit in monitoring huge fields of crops and thus automatically detect the symptoms of diseases as soon as they appear on plant leaves. The goal of this application is to develop a system which recognizes crop diseases for that user have to take an image of plant leaf, Image processing starts with the digitized colour image of the diseased leaf. Finally by applying the transfer learning plant disease can be detected.

Technical Keywords: - Image processing, CNN, Transfer learning, Machine Learning, Applications.