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Abstract

This paper presents a method for early detection of leaf diseases in plants based on some important features extracted from its leaf images. It is interfaced with a digital camera or web camera which is used to detect the diseases in leaves. In this system, images of leaves are captured and compared with image healthy leaves images which are in database that are pre-stored in the device. After image processing, if the plants are found infected, this device automatically turns on the valves, through which medicine supply is enabled or disabled automatically to the plant area through a sprinkler or drip irrigation method. In addition to this, soil moisture and temperature sensors are used to avoid the spreading of diseases due to change in climatic conditions. If the values of moisture/temperature exceed the predefined range, the Beagle bone Black enables auto-medicining to the plants.

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How to Cite
S.Brindha, T. Keerthana, S. Praveen Kumar, V.Yaswanth, & P. Dinesh Kumar. (2019). Detection of Musa leaf diseases using image processing and monitoring plant irrigation system . International Journal of Intellectual Advancements and Research in Engineering Computations, 7(1), 1297–1302. Retrieved from https://ijiarec.com/ijiarec/article/view/1122