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Information System for Agriculture and Food Research

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Collaborative project: An agricultural experimental field for implementation of digital technologies for crop protection. Subproject 1 (FarmerSpace)

Project


Project code: 28DE104A18
Contract period: 17.02.2020 - 16.02.2025
Budget: 593,560 Euro
Purpose of research: Applied research

The agricultural experimental field evaluates and establishes new digital technologies für sugar beet and wheat focusing on disease detection and weed management. Therefore established methods will be evaluated regarding new technologies from the area of sensor networks, automated carrier platforms and remote sensing. Furthermore appropriate workflows will be implemented and established, which will later on be used for decision making. Supporting partners from mechanical engineering, modelling, plant protection and agrar sensing are invited to evaluate their technologies in a neutral testing environment and to compare them to established reference methods. A permanent market analysis helps to identify latest developments and to add them to consisting working packages. The experimental field is the authority to define the requirements for future automated, robotic and sensor-based decision making. Results and findings will be published and demonstrated in public events to potential users in a way that a direct knowledge transfer is assured. The Farmerspace project consists of seven sub-projects focusing on self-evaluation and networking / expert panel (TP1), leaf diseases of wheat (TP 2), leaf diseases of sugar beet (TP3), weed control in wheat production(TP4), weed control in sugar beet production (TP5), multidimensional data model (TP6) and practical implementation and knowledge transfer (TP 7). In TP 1, in addition to a permanent demand and technical analysis of the market, the experimental planning for exact tests and on-farm-research, the interface definition, the establishment of a FarmerSpace for farmers and the ongoing self-evaluation of the project are carried out in four work packages. In TP 2/3, low power wide area sensor networks (LPWAN, IoT) are used to monitor the microclimate, integrate remote sensing methods, and then transfer the methods to the other crops (sugar beet, wheat). TP 2 focuses on the use of sensor networks for near exploration in wheat, and TP 3 focuses on using the methodology of remote sensing in sugar beet. TP 4/5 uses monitoring methods to analyze the technology (e.g., efficiency of tillage equipment) and remote sensing techniques with a focus on weeds in wheat and sugar beet crops. TP 4 focusses on on-farm research in wheat, while TP 5 focuses on the culture of sugar beet and the use of automated / semi-automated remote sensing methods. The comparison is done with manual rating data. TP 6 develops a multidimensional data model with the aid of 3D geometry data based on carrier vehicle measurements. Furthermore, requirements for the digital infrastructure are defined with the aim to derive plant geometry, microclimatic monitoring and plant development on the field from the movement (by carrier vehicle / overflight). TP 7 includes the transfer of knowledge into practice through professional events and workshops, field days and training courses.

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Subjects

  • Crop Protection
  • Agricultural Engineering Plant Production
  • Computer science
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