Identification and classification of Asian soybean rust using leaf-based hyperspectral reflectance
| Autor: | Marcos Rafael Nanni, Renato Herrig Furlanetto, Monica Sayuri Mizuno, Luís Guilherme Teixeira Crusiol, Camila Rocco da Silva |
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| Rok vydání: | 2021 |
| Předmět: |
010504 meteorology & atmospheric sciences
biology fungi 0211 other engineering and technologies food and beverages Severe disease Early detection 02 engineering and technology biology.organism_classification 01 natural sciences Hyperspectral reflectance Visual inspection Agronomy Phakopsora pachyrhizi General Earth and Planetary Sciences Identification (biology) Asian soybean rust 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | International Journal of Remote Sensing. 42:4177-4198 |
| ISSN: | 1366-5901 0143-1161 |
| DOI: | 10.1080/01431161.2021.1890855 |
| Popis: | Asian soybean rust (Phakopsora pachyrhizi) is the most severe disease in soybean crops production. The early detection of the disease by traditional methods involves visual inspection of the sympto... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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