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Imprint
Predictive Plant Production
Project
Project code: EIP-Agri-Ni-2021-PPGBD
Contract period: 01.01.2021
- 31.12.2023
Budget: 484,036 Euro
Purpose of research: Applied research
Keywords: Plant production and horticulture, fertilisation
Due to increasingly dry summers and decreasing water availability, horticultural businesses are increasingly asking for more efficient irrigation. Today, farm irrigation and fertilization is mostly done according to the current situation in the crops. In this context, the weather report, which is adapted to the agricultural sector, is the only useful prediction for irrigation control. Time- and personnel-consuming analyses or measurements are also rarely carried out in practice. The Predictive Plant Production project is basically about an AI to support plant-producing companies in resource-saving plant production. The aim of the project is to research a system that monitors the environmental conditions of these plants in order to determine the necessary cultivation measures. For this purpose, moisture, temperature and salinity are determined in soils or substrates representative for the crop. In addition, local weather data will be collected and AI will be used to learn the individual local conditions of each site. Based on this, predictive models will be trained and irrigation, fertilization and temperature control will be automated.
Section overview
Subjects
- Plant Nutrition
- Horticulture
- Vegetable Gardening
- Resource management
