Orchid Classification Disease Identification And Healthiness Prediction System

Abstract Floriculture has become one of Sri Lankas major foreign exchange ventures and it has grown substantially during the last few years. Currently we can find three major types of growers in floriculture. They are Large Commercial Ventures Middle Level growers and Village Level growers. Both Middle Level and Village level growers usually go for low cost cultivation with minimum advanced techniques sticking to conventional methods. Orchid cultivation is more pleasurable and profitable than any other floriculture ventures. As the orchid cultivation is so pleasurable we can introduce another group of growers who cultivate orchid in their home gardens for making their home gardens beautiful. But the problem is that most of these growers may not have the knowledge to identify the specie of the plants as there are a number of similar looking plants which are in different species. And also they may not have the knowledge about the orchid diseases. Because of that they may not be able to get the maximum outcome from their cultivations. So the aim of our project is to address the above mentioned issues by introducing a system which can identify orchid species 26 diseases and predict the healthiness of the orchid plants. The only input to this system is an image of an orchid leaf and the system will provide the orchid specie name diseases if there any healthiness of the orchid plant and suggestions to overcome the issues associated with the orchid plant as the output. We identify the orchid species and diseases by extracting the features of orchid plant leaf in the input image using image processing technics and with the use of data mining technics we predict the healthiness of the orchid plant. So this system will be a great help for the people who love to grow orchids but dont have knowledge about the orchid species and diseases. And also they will be able to find the healthiness of their orchid plants.