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Niedersächsisches Ministerium für Ernährung, Landwirtschaft und Verbraucherschutz
Lower Saxony and Bremen
Calenberger Straße 2
30169 Hannover
Website: External link to the authority
Predictive Plant Production
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.
Results and the Final report will be found here, as soon as the project is completed.
Rural development 2014-2020 for Operational Groups (in the sense of Art 56 of Reg.1305/2013)
OFFIS Institut für Informatik
Escherweg 2
26121 Oldenburg
Phone: 0441/9722185
Email: meyer@offis.de
2021
ongoing
484,036
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