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AUTHOR(S): Anil Kumar D.
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ABSTRACT Sugarcane is one of the most important commercial crops of India. It is widely grown by the formers for their big margin profit. It has a lot of by-products. India stands second in the product of sugarcane followed by Brazil. It requires lots of water for its cultivation and it is highly fragile to the diseases like a fungal infection. In India, it is highly grown in UP. Identification of sugarcane diseases is the key to preventing the losses in sugarcane products. If proper care is not taken then it causes serious effects on sugarcane plants which affect on quality and quantity of sugarcane products. The identification of sugarcane disease through some automatic technique is beneficial it reduces large work of monitoring in big forms of crops. This paper also presents an automated irrigation system, in this system raspberry pi is used as an embedded Linux board. The system has a sensors network of soil moisture, temperature, and humidity sensors. Soil moisture reached particular vale then message send to the owner and automatic water motor ON. If Temperature and humidity reach a particular value then-owner makes the pesticide motor ON or OFF on his smartphone or on the web page. |
KEYWORDS Raspberry Pi (Rpi); Sensors; Web camera; Web Design; Irrigation; sugarcane Leaf disease detection; OpenCV; Qt; pesticide spray |
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Cite this paper Anil Kumar D. . (2022) Diagnosis of Sugar Cane Leaf Diseases and Automated Control of Spray Pesticides, Controlling Through Gadgets. International Journal of Agricultural Science, 7, 1-5 |
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