Digitomkku - Big Data testpeds for wireless sensors in tomato and cucumber production

The main goal of the Digitomkku project is to (1) create and run a Big Data trial and learning platform for production of tall greenhouse vegetables based on test beds and managed by a multi-actor network. Project tasks include creation of sensor networks in greenhouses, data transfer, data management, data analysis and data use in decision making. The data architecture produced and the experience of its use are the basis for evaluating the benefits of data-driven cultivation for internal and business development of the test beds and the multi-actor network. In addition, the project will provide information on (2) the significance and controllability of intra-greenhouse variability of the greenhouse climate and (3) the usefulness of direct measurements of plant physiological status in irrigation control. The focus is on refining irrigation control through measuring physiological responses of plants and the effects of plant water management on the quality of end products.