Algorithms and methods for measuring land areas to estimate land areas
The ReSeDiUm project aims to develop an intelligent AI-based system for analyzing satellite and language data. The focus is on the automated identification and credits of usable land areas.
By combining satellite images with voice data collected on farms, a novel approach is being developed that makes it possible to link visual information with human observations. This increases the accuracy of land area analysis and creates a deeper understanding of ecological and Agriculture relationships.
Scientific tasks:
- Development of AI algorithms for the automatic evaluation of satellite data to identify usable areas
- Analysis and processing of language data from Agriculture practice
- Machine recognition of correlations between image features and human statements
- Combination of both types of data to increase the accuracy of analysis
- Obtaining new scientific and practically relevant findings for Agriculture, the environment and spatial planning
Acknowledgments:
This work was supported by the European Regional Development Fund (ERDF) and the state of Saxony-Anhalt as part of the program Saxony-Anhalt SCIENCE - Research and Innovation (ERDF) 2021-2027 in the project ReSeDiUm (funding code ZS/2023/12/182669).
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