Date of Publication :7th May 2016

Abstract: India is predominantly an agrarian economy with more than 75 percent of its population living in villages and depending on agriculture and allied activities for their livelihood. Land has traditionally been the basic income yielding assets of Indian farmers. Whilst most farmers are familiar with conventional farming practices, they are often ill positioned to promptly deal with diseases and plant infestations affecting their crops. Current advisory systems tend to be generic and are not tailored to specific plots or farms. Our project comprises an agriculture advisory model to provide an agriculture disease mitigation system. The image of diseased/infected paddy crop is captured using the camera. The images are processed in such a way as to provide a visual representation of the affected paddy leaf. A digital image is further analyzed by taking RGB feature of that image and then classified. That classified information can be used for precision farming by farmer for decision support system.

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