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Information System for Agriculture and Food Research

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Collaborative project: Georeferenced sensor-based data management system for site-specific irrigation and fertilization of open field vegetables - subproject 2 (GeoSenSys)

Project


Project code: 2818509B18
Contract period: 01.02.2020 - 31.05.2023
Budget: 156,823 Euro
Purpose of research: Experimental development
Keywords: irrigation, horticulture, precision farming, other industrial plants, plant nutrition, remote sensing, data management, resource protection, resource efficiency, fertilization, vegetable production

By means of a GIS-supported web application, the user will be given recommendations for action, which support him in the site-specific N-fertilization and irrigation. Information on soil characteristics, C N-dynamics, crop development and irrigation needs will be combined through intelligent control systems and visualized for user decisions as a browser-based web application. As a result, watering and N fertilization maps can be created for partial area so that they can respond to differentiated water and nutrient requirements.The industrial research and development of GeoSenSys takes place in a consortium of research, consulting and companies (SMEs, large companies). As part of three-year field trials with irrigation and fertilizer plots with spinach, partly highly frequented soil- (a), plant- (b) and climate- (c) parameters will be recorded site-specifically. These include a) Nmin, soil water tension, apparent electrical conductivity (usable field capacity, soil type) b) biomass, BBCH (from Kc), LAI, N ¿¿content, and c) measures of potential evapotranspiration and precipitation. For spinach, suitable vegetation indices (VIs) for mapping the N and water supply as well as the crop development (via leaf area index, Kc estimation) are identified by means of spectral analyzes. These go with above mentioned parameters as model sizes in a computer learning model that estimates the irrigation needs of the partial area. From Nmin-content, N-content in plants and the appropriate VI, N-fertilizer demand is derived through a link between N-Expert and an N-index of mineralization. Based on N-demand and mineralization as well as the need for irrigation, a decision support system (GeoSenSys) will be developed, which recommends nitrogen fertilization and irrigation to the end user. This is implemented and visualized using a browser-based web application. The system GeoSenSys will be used and tested in the last step in the vegetable production. With the help of the practical appl

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