In the theoretical part of this thesis there is summarized the basic knowledge about the fungal leaf diseases of cereals, their harmfulness and technologies of precision agriculture. The practical part deals with the detection of cereal infestation with fungal leaf diseases using noninvasive optical methods. The research was conducted on winter wheat using methods based on spectral reflectance, infrared thermal imaging, chlorophyll fluorescence imaging, and blue-green fluorescence imaging. The tested diseases were powdery mildew (Blumeria graminis f. sp. tritici), wheat stripe rust (Puccinia striiformis), and wheat leaf rust (Puccinia recondita f.sp. tritici).). In the case of spectral reflectance, the best results were obtained for spectral indices ANMB650-725 and ZM generally. Overall, the best results for all methods were achieved in the detection of wheat leaf rust. A very good indicator of disease infestation was infrared thermal imaging, with a higher level of infection implying an increase in leaf temperature and a lower difference between leaf and air temperature. Reliability of detection by chlorophyll fluorescence imaging differs between individual diseases, with the best results being generally achieved for actual quantum yield PSII and the non-photochemical quenching. The most promising method for the future is the blue-green fluorescence imaging, which achieved very good results for both, the estimation of infection level and contrast between the infected and the healthy part of the leaf.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:427012 |
| Date | January 2018 |
| Creators | Mezera, Jiří |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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