Android based image processing system for leaf disease detection and recovery suggestions

Plants is the heart of an agriculture field and its become an important source of energy as well as financial income. Much level plantation use to solve problem of global warming also. Today many of person have agriculture as occupation. So there is a huge source of plants, but due to the affect of environmental condition or as whether climate change, many of the non native disease are occur on plants and causes social, ecological and economical losses. many of the farmer are unable to recognize that new disease. Sometimes Normal human eyes can not predict this ,it will badly affect on production from plant and quality.so farmer needs expert person who recognize the disease and symptoms appearing on the plant leaves, this will increase the cost of farming. To reduce this we introduce one android application which diagnosis and identify the symptoms of disease on plant leaf.so it will save the major problems occur due to plant disease. our system work on such plants which are infected by many disease that is fungi, viruses etc to detect, classify plant disease by using image processing technique. It identify the actual type of disease and give its preventive measures and related recovery notations are displayed by using invert algorithm. And finally we get all information regarding that disease its symptoms, its preventive mechanism and recovery suggestion at very least time and low cost.