The aim of the project is development of the Decision Support System based on the remote sensing method for precision farming (for determination of needs for agricultural practices). This method will be also applied for assessment of the degree of degradation of meadows (the method will refer to biodiversity of examined meadows) and for the carbon dioxide balance between the soil – vegetation and the atmosphere.
The analysis will be performed for most important crop: wheat and maize, in 2 regions. Meadows will be examined for the Wieprz river valley.
- substantial limitation of data derivation costs,
- air-borne data are more representative and more costand time-efficient than soil and plant analyses and give spatial data what is more precise for precision farming than insitu point measurements,
- ensuring all benefits of precision farming, which results in substantial reduction of cost and environmental benefits,
- development of remote sensing method for evaluation of CO2 exchange will ensure faster, cheaper, and easier derivation of data required for greenhouse gas balance. The project will be implemented the stages of research and development of the remote sensing monitoring system, ground and air-born investigations, and design of a decision support system for precision farming.