Deep Learning Studies

Lab scale greenhouse was established to detect the anomaly on plant. Lettuce, tomatoes and pepper were examined in the lab scale greenhouse. Approximate 20.000 image, health, diseases and with anomaly, have been collected and recorded into the cloud base. These research and development activities were designed as a preliminary preparation of the PRIMA project.

Studies for the detection of abnormalities and diseases with the deep learning technique continues and the system software will be written in KERAS and Tensor flow will be their background. Dataset have classified as binary. The aim of system is to achieve above the %90 accuracy for anomaly detection.