Projects & Grants
| Machine learning and fuzzy logic in biology II | |
|---|---|
| Project Id | SGS06/ÚVAFM/2019 |
| Main solver | Mgr. Stanislav Ožana, Ph.D. |
| Period | 1/2019 - 12/2019 |
| Provider | Specifický VŠ výzkum |
| State | finished |
| Anotation | This project should continue in developing new methodologies for correct and accurate identification of individual organisms and applications for monitoring animal species (dragonflies, orthoptera, amphibians and reptiles) by utilizing fuzzy modeling and machine learning. The project proceeds our research that has demonstrated the potential of methods such as species recognition from the image, species recognition using sound, or species recognition based on a set of occurrence and environmental data.The main aims of the project are as follows:1. Use of fuzzy logic and machine learning when working with image material and raw data as a tool to improve the classification algorithm in a freeware application, Dragonfly Hunter CZ2. Use of fuzzy logic and machine learning in creation of freeware application, amphibians and reptiles determination key of the Czech Republic3. Use of fuzzy logic and machine learning in the creation of freeware application, orthoptera determination key of the Czech Republic4. Create a web map application for easy acquisition of environmental data from specific GPS points5. Practical use of fuzzy logic for language interpretation of biological dataThe research will be carried out by a collaboration of the Department of Biology and Ecology with the Department of Computer Science and the Institute for Research and Application of Fuzzy Modeling. The project results will be a new methodology of species identification, usable for example in application Dragonfly Hunter CZ, an application designed to identify orthopterans, amphibians and reptiles of the Czech Republic, publications in journals with IF and presentations at selected conferences (e.g. International Congress of Odonatology 2019). |
