| Issue |
BIO Web Conf.
Volume 93, 2024
International Scientific Forestry Forum 2023: Forest Ecosystems as Global Resource of the Biosphere: Calls, Threats, Solutions (Forestry Forum 2023)
|
|
|---|---|---|
| Article Number | 01010 | |
| Number of page(s) | 11 | |
| Section | Forestry, Forest Management and Multipurpose Use of Forests | |
| DOI | https://doi.org/10.1051/bioconf/20249301010 | |
| Published online | 20 March 2024 | |
Algorithms for plant disease diagnostics by leaf image
1 Research Institute for the Development of Digital Technologies and Artificial Intelligence, 17A, Boz-2, Tashkent, 100125, Uzbekistan
2 Tashkent State Transport University, 1 Zheleznodorozhnikov str., 1 passage, Tashkent, 100167, Uzbekistan
3 Samarkand State University named after S. Rashidov, University blvd., 15, 140104, Uzbekistan
* Corresponding author: farhodtorg@gmail.com
This article discusses the task of detecting diseases of cultivated plants. When determining the phytosanitary status of cultivated plants, images of their leaves are considered as initial data. To solve the problem under consideration, a model of diagnostic algorithms based on two-dimensional threshold functions is proposed. The main idea of the proposed algorithms is to form a set of preferred diagnostic features and make decisions aimed at making a diagnosis based on a comparison of these features. The classification stages of the diagnostic algorithm model are presented. An assessment of the applicability of the proposed model is demonstrated using the example of solving the problem of diagnosing wheat diseases by leaf images. Keywords: diagnostic algorithms, basic image slices, diagnostic features, preferred features, calculation of the overall score.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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