Smart Leaf Recognition System
G. Sekar1, P.M. Benson Mansingh2

1Dr.G.Sekar*, Electronics and Communication Engineering-, Sri Ramakrishna Institute of Technology, Coimbatore, India.
2Mr.P.M. Benson Mansingh, Electronics and Communication Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, India. 

Manuscript received on April 11, 2020. | Revised Manuscript received on May 15, 2020. | Manuscript published on June 30, 2020. | PP: 289-291 | Volume-9 Issue-5, June 2020. | Retrieval Number: D7577049420/2020©BEIESP | DOI: 10.35940/ijeat.D7577.069520
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Abstract: One of major issue nowadays is the agricultural productivity which is something our Nation’s economy highly depends. Technology based advancements may lead to detection of diseases in plants which are quite natural. Care should be taken in this area before it causes serious effects on plants which mainly affect the product quality, quantity or productivity. Early stage detection of diseases in plants through some automatic technique is beneficial as it reduces a huge work of monitoring in large acres of crops. When they appear on plant leaves, earlier detection helps us to increase the yield and productivity. This paper presents an algorithm for image processing technique which is used for automatic detection and classification of plant leaf diseases with the help of raspberry pi and sensors. This survey is about different diseases and its classification, techniques which are used for plant leaf disease detection and also its respective fertilizer sprayed on the leaves. 
Keywords: Image recognition, Open CV, Raspberry pi and Ultrasonic sensors.