A Review on Plant Health Monitoring System Using Image Processing

Vol-3 | Issue-11 | November 2018 | Published Online: 10 November 2018    PDF ( 421 KB )
Author(s)
Annie Christi 1; Prof. Brijesh Vala 2

1Research Scholar, Dept. of Computer Science & Engineering, Parul Institute of Engineering and Technology, Vadodara (India)

2Asst. Professor, Dept. of Computer Science & Engineering, Parul Institute of Engineering and Technology, Vadodara (India)

Abstract

Now a day’s in India, about 70% of the people are in the agriculture system. Agricultural includes harvesting of the plants, fruits, crops, etc. on a large scale. Now, this harvested product should be disease free for healthy production further. Now, hereby diseases in plants cause major production and economic losses. The most standout cause of harm is attack of disease. Rural researchers and scientists assume an imperative job in identifying and discovering solution for plant sicknesses. Farmers experience great difficulties in detection and control on disease with naked eyes. In this paper we survey the need of basic plant disease detection that would facilitate in agriculture. This paper essentially incorporates strategies that utilization picture handling systems to distinguish the plant infections. It likewise incorporates the side effects of the illness in any piece of the plant. This paper displays the different computerized picture handling procedures and its correlation for the identification of illness.

Keywords
Image processing, plant disease detection, pattern recognition, image processing techniques, K-mean clustering, SVM
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