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- W2186996810 abstract "This paper presents a method to apply canny edge detection algorithm on the healthy and disease sample of medicinal plants. Farmers are suffering from the problem rising from various types of plant traits/diseases. Sometimes plant’s doctors are also unable to recognize the disease that results in lack of identification of right type of disease and this leads to plant spoil if not taken care of at right time. Medicinal plants form the backbone of a system of medicine called Ayurveda and is useful in the treatment of certain chronic diseases. Ayurveda is considered a form of alternative to allopathic medicine in the world. This system of medicine has a rich history. Ancient epigraphic literature speaks of its strength. Ayurveda certainly brings substantial revenue to India by foreign exchange through export of ayurvedic medicines, because of many countries inclining towards this system of medicine. It is necessary to identify the plant is diseased or not and if yes then which type of disease it has? For identifying the plant disease the very first step is to apply canny edge detection algorithm on healthy and diseased samples." @default.
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- W2186996810 date "2014-01-01" @default.
- W2186996810 modified "2023-09-27" @default.
- W2186996810 title "Identifying Healthy and Infected Medicinal Plants Using Canny Edge Detection Algorithm and CBIR" @default.
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