2020 - 2024
Georeferenced sensor-based data management system for site-specific irrigation and fertilization of open-field vegetables
The decision support system GeoSenSys is designed as a GIS-based web application for open field vegetable production to support the user by providing coupled recommendations for site-specific irrigation and nitrogen (N) fertilization.
The objective of the project is to develop an Artificial Neuronal Network for Irrigation (ANNI) based on spectral reflectance of the model crop spinach and measured soil, plant and environmental parameters of georeferenced fields.
Irrigation demand is derived by combining crop water balance with Geisenheim Irrigation Scheduling, plant parameters and spectral vegetation indices. In order to verify the modeled water demand, the current evapotranspiration is measured using eddy covariance analyses.
To enable the coupling of irrigation and N-fertilization decisions, a N-mineralization model is developed and linked to the irrigation model, facilitating decisions on management-related questions in vegetable production. Through the small-scale assessment of irrigation and N-fertilization demand, this project contributes to resource-efficient and sustainable vegetable production.