Survey Paper on Detection of Unhealthy Region of Plant Leaves Using Image Processing and Soft Computing Techniques
Namita M. Butale, Dattatraya.V.Kodavade, , ,
Affiliations Department of Computer Science, DKTE Society’s Textile & Engineering Institute, Ichalkaranji, India
This paper provides survey on plant leaf disease detection technique by using image processing. Plants plays vital role in humans life, they fulfils our daily needs from food to breathing, It is our duty to take care of plants. India is an agricultural country and about 70% people are depending on agricultural. Plant disease detection is emerging field in India as agriculture is important sector that affects the economy and social life, so leaf disease detection is very important research topic. Most of the diseases on plants are caused by fungi, bacteria, and viruses. Due to the diseases on plant the quality and quantity of agriculture product is reduced. To detect the disease on plants there is need of experts but it is very costly procedure and time consuming too. To reduce the cost and for the better results we are using the automation techniques, which will be very helpful in detecting the disease at early stage. The paper discusses an automatic disease detection technique using soft computing.
Namita M. Butale,Dattatraya.V.Kodavade."Survey Paper on Detection of Unhealthy Region of Plant Leaves Using Image Processing and Soft Computing Techniques". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.6, Issue 01,pp.232-235, January - 2019, URL :http://ijcert.org/ems/ijcert_papers/V5I1204.pdf,
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