It is an AI-based smart farm system that combines the technology of judging the plant's growth status by photographing images of plants that are difficult to see with the naked eye and analyzing color data.
By contactlessly acquiring the image of the plant with a camera, the height and area of the plant are separated and analyzed by the wavelength of the visible light band in the software to indicate the growth stage and nutritional status of the plant. The machine learning based plant growth measurement system measures the image images of plants according to the schedule, sends them to the image acquisition server, and analyzes the transmitted image information to generate training data for machine learning. Training data is used to guide plant nutritional deficiencies in open source machine learning to extract the optimal algorithms for growth measurement.
Farmers can use the system applied to smartphones to predict the symptoms and stress of cultivated crops and apply them to the improvement of product quality. Agriculture Organization can be used to determine plant pests such as ‘burn disease’, which is a foot-and-mouth disease, and to investigate epidemiological investigations and quarantine. At the time of sarcomaing and raising seedlings, it is possible to increase the yield by grasping the condition of crops in the early stage and apply it to the smart farm’s operating system, which can be used as a decision support system for plant cultivation.