We aim to develop a real time application to the farmers for managing crop diseases. However disease detection requires continuous monitoring of experts which might be prohibitively expensive in large farms area. Automatic detection of plant diseases is an essential research topic as it may prove benefits in monitoring large fields of crops and thus automatically detect the symptoms of diseases as soon as they appear on plant leaves. Regarding plant disease diagnosis methodologies to detect diseases on crops, image processing in disease diagnosis and eAGROBOT was studied. This paper is aiming to all are collectively used and formed semi real time system for a disease diagnosis which uses image processing and data mining concepts to give pesticide recommendation and pesticide cost estimation system. Thus the android application makes a good foundation for following effective characteristic parameters for the disease diagnoses and setting up recommender system. The system is to be designed and developed using Android studio as front-end software and SQLite as back-end software. The pictures and remedial measures of the diseases were stored in the database and can be retrieved whenever necessary. The challenge is to make the farmers to listen the crop disease diagnosis system and to get the advice related to the crop diseases. The constraint here is to develop the expert in local languages so that farmers can operate the ES by themselves and get expert advice from the system