Fusion of multi-source and multi-sensor information on soil and crop for optimised crop production system

Project information

Fusion of multi-source and multi-sensor information on soil and crop for optimised crop production system

Call: ICT and Automation for a Greener Agriculture

Id: 14303

Acronym: FarmFUSE

Duration: 

1 March, 2013 to 29 February, 2016

Consortium:
No Partner Contact Country Total
1000€
Funded
1000€
Funder
1 Coord.Faculty of bioscience engineering, Ghent UniversityAbdul MouazenBelgium303.4214.2Department for Environment, Food and Rural Affairs
2Agricultural Engineering Laboratory
Department of Hydraulics, Soil Science and Agricultural Engineering
School of Agriculture
Faculty of Agriculture, Forestry and Natural Environment
Aristotle University of Thessaloniki
Dimitrios MoshouGreece173.7149.7Managing Authority of the Rural Development Plan
Ministry of Rural Development & Food
3Professorship for Geodesy and Geoinformatics
Chair of Geodesy and Geoinformatics
Faculty of Agricultural and Environmental Sciences
Rostock University
Ralf BillGermany177.3153.3Federal Ministry of Food and Agriculture
4Vocational School of Technical Science
Uludag University
Yucel TekinTurkey112.8112.8Scientific and Technological Research Council of Turkey
5tec5 AG
Steffen PiechaGermany82.361.7Federal Ministry of Food and Agriculture
6Professorship for Geodesy and Geoinformatics
Chair of Geodesy and Geoinformatics
Faculty of Agricultural and Environmental Sciences
Rostock University
Jens WiebensohnGermany


Summary: 

Ignoring the inherited spatial variation in soil properties with traditional sampling methods leads to poor crop management, yield loss and excess use of input. The proposed system of FarmFuse addresses these issues in 2 ways: (a) utilising a new and innovative on-line multi-sensor platform for measuring key soil properties at an appropriate resolution. (b) Integrating this improved soil data with other information such as vehicle-borne sensing of crop growth, weather data, soil conductivity and yield maps, to develop algorithms to determine rules for variable rate application. These can then be integrated into FMIS. The vision for the final integrated system would be a server that would allow the end user to access and upload data including maps of soil, crop and yield in addition to recommendations about site specific applications. The resultant treatment maps would then be uploaded to precision agriculture compatible implements for site specific application of inputs.

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