Detection Of Disease In Sugarcane Leaf Using IOT

Agriculture is one of the most important aspects of human civilization. The conventions of Internet of things (IOT) have mean ingfully contributed in the space in last two eras. IOT is a technology, where actual lifetime physical objects (e.g. sens or nodes) can work collaboratively to create an information based and technology driven system to maximize the benefits (e.g. improved agricultural production) wit h minimized risks (e.g. environmental impact).Execution of IOT based arrangements, at each pe riod of the region, could be a distinct advantage for entire rural scene, for example from planting to exporting and past. In this paper Fungi caused diseases in sugarcane are the most dominating conditions which show up as spots on the leaves. In the even t that it isn't treated on schedule, causes the extreme misfortune. Over the top utilization of pesticide for plant illnesses treatment builds the expense and ecological contamination so their utilization must be limited. This can be accomplished by f ocusi ng on the illnesses places, with the fitting amount and convergence of pesticide by assessing disease seriousness utilizing image handling proced ure. Straightforward edge and Triangle thresholding strategies are utilized to portion the leaf zone and sore d istrict region individually. Now a days there was more advance technology is used in agriculture field. In this paper automation robot is used to find disease in sugarcane leaf. At long la st weaknesses are categories by computing the remainder of injury re gion and leaf territory. The precision of the analysis is seen as 98.60 %. Research demonstrates this technique to figure leaf sickness seriousness is quick and accurate.