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Classification of Plant leaf diseases: A Deep Learning Method
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.a9230.119119
Subject(s) - deep learning , convolutional neural network , agriculture , field (mathematics) , artificial intelligence , production (economics) , computer science , plant growth , agricultural engineering , dependency (uml) , machine learning , agronomy , mathematics , geography , engineering , biology , archaeology , pure mathematics , economics , macroeconomics
For the continuous existence of human life, agriculture plays a vital role due to the dependency of lives of people on it for production of food. In order to meet high production rate, precision farming is required. Presently, substantial developments attained “in the field of image processing and recognition” which has being a foremost challenge earlier in the practice of Precision farming. The reduction in the growth, quality and quantity of plants is due to expansion of plant diseases.The survey literature confers various plant leaf diseases and their detections during different phases through various state of art machine and deep learning techniques. The particular emphasis in this paper is on detection and classification of plant “leaf diseases” through deep “convolutional neural networks algorithms.

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