The past of the grain is as old as human history. It is seen that new technologies are used today to increase the productivity and quality in grain cultivation which has been started with wheat production in the history. In general, cultivated grain types are used as food. Additionally, they meet the need for concentrate feed by adding to the feed rations as a certain extent. At the same time, grain products are considered to be raw materials for the production of certain substances used in industry. On the other hand, to follow the development of the plants in the grain group and to make the disease / damage detections in high accuracy play an important role in improving the yield and quality of cereal products. Thanks to the PROVEA Precision Agricultural Decision Support System, the yield determination of grain group plants can be carried out with the help of image processing techniques and it is possible to make the disease / damage detection with machine learning methods.