solomonnsumba/cropmonitoring

This page shows the real time results from a survey system developed at Makerere University, Uganda, which uses camera-phone input to provide timely data on the health of staple crops. Survey workers (with GPS enabled devices) and agricultural extension workers or farmers (with basic camera phones) can provide data in the form of images taken of the leaves of their crops. Applying computer vision techniques to large sets of such uploaded images, we can automatically classify the state of health of plants, and then map the extent of the disease in a district or country. In this way, more data can be collected, more rapidly and at lower cost, than is possible with traditional survey methods. We concentrate here on cassava, which is the third largest source of carbohydrate for human consumption in the world, and provides more food calories per unit of land than any other staple crop == README This README would normally document whatever steps are necessary to get the application up and running. Things you may want to cover: * Ruby version * System dependencies * Configuration * Database creation * Database initialization * How to run the test suite * Services (job queues, cache servers, search engines, etc.) * Deployment instructions * ... Please feel free to use a different markup language if you do not plan to run rake doc:app .