The aim of the project is to install carrot, cabbage, and leek plantations in two farms, with different methods of watering, fertilization, and plant protection.

During the project innovative electrochemical sensors will be created that can transmit the actual amount of dissolved nutrients in water for real-time mineral nutrition refinement. These sensors will be tested in laboratory and field conditions and especially for the purpose to determine nitrogen leakage from plantations. The gathered real-time environmental data, plant phenological measurements, and yield data will be collected in a database for data analysis and for further use in decision making processes.

In the long term, the project will contribute to sustainable agriculture by reducing agrochemical consumption and ensuring economical labour and watering of plantations. Special attention will be paid to the automation of irrigation systems, monitoring of environmental parameters and soil composition, and phenotypic evaluation of plants using different fertilisation methods. As part of the project, comparisons of cultivation technologies for the production of high demand vegetables—cabbages, carrots, leeks, etc.—will be set, using the basic principles of integrated, organic and dynamic horticulture. Computerised data aggregation and processing, followed by the collection of large datasets over several years is essential to start using AI for data-driven decision-making.