Expert System to Detect and Diagnose the Leaf Diseases of Cereals
Pages : 1480-1483
This paper presents a proposed expert system to identify the leaf diseases of three cereal crops (rice, maize and wheat). Keeping in view the advances in the field of agriculture and need of farmers, this expert system has been proposed. The identification of plant diseases is usually a difficult task and requires a plant pathologist or well-trained technician to accurately describe the case. Moreover, there are some diseases which have similar symptoms, thus making it difficult for non-experts like farmers to distinguish between diseases correctly. This expert system will use the colored images of the defected cereal plant leaves as well as the textual input to identify the disease. It will enable users/ farmers to identify any disease, makes the right decision and chooses the right treatment.
Keywords: Expert System, Affine Transformations Edge Detection, Pixel Comparison
Article published in International Journal of Current Engineering and Technology, Vol.3,No.4(Oct- 2013)