دورية أكاديمية
Hyperspectral Remote Sensing for Early Detection of Wheat Leaf Rust Caused by Puccinia triticina
| العنوان: | Hyperspectral Remote Sensing for Early Detection of Wheat Leaf Rust Caused by Puccinia triticina |
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| المؤلفون: | Anton Terentev, Vladimir Badenko, Ekaterina Shaydayuk, Dmitriy Emelyanov, Danila Eremenko, Dmitriy Klabukov, Alexander Fedotov, Viktor Dolzhenko |
| المصدر: | Agriculture, Vol 13, Iss 6, p 1186 (2023) |
| بيانات النشر: | MDPI AG, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Agriculture (General) |
| مصطلحات موضوعية: | hyperspectral remote sensing, wheat leaf rust, Puccinia triticina, support vector machines, early plant disease detection, VIS-NIR spectroscopy, Agriculture (General), S1-972 |
| الوصف: | Early crop disease detection is one of the most important tasks in plant protection. The purpose of this work was to evaluate the early wheat leaf rust detection possibility using hyperspectral remote sensing. The first task of the study was to choose tools for processing and analyze hyperspectral remote sensing data. The second task was to analyze the wheat leaf biochemical profile by chromatographic and spectrophotometric methods. The third task was to discuss a possible relationship between hyperspectral remote sensing data and the results from the wheat leaves, biochemical profile analysis. The work used an interdisciplinary approach, including hyperspectral remote sensing and data processing methods, as well as spectrophotometric and chromatographic methods. As a result, (1) the VIS-NIR spectrometry data analysis showed a high correlation with the hyperspectral remote sensing data; (2) the most important wavebands for disease identification were revealed (502, 466, 598, 718, 534, 766, 694, 650, 866, 602, 858 nm). An early disease detection accuracy of 97–100% was achieved from fourth dai (day/s after inoculation) using SVM. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 13061186 2077-0472 |
| Relation: | https://www.mdpi.com/2077-0472/13/6/1186; https://doaj.org/toc/2077-0472 |
| DOI: | 10.3390/agriculture13061186 |
| URL الوصول: | https://doaj.org/article/69681b36c302463a8fb8c72e47488500 |
| رقم الأكسشن: | edsdoj.69681b36c302463a8fb8c72e47488500 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 13061186 20770472 |
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| DOI: | 10.3390/agriculture13061186 |