In this article, the issue of determining the phytosanitary status of cultivated plants was considered, and their leaf images were taken as initial data. To solve this problem, a model of recognition algorithms based on two-dimensional threshold functions is proposed. The main idea of the proposed algorithms is to form a set of preferred symbols and build a decision-making rule based on the comparison of these symbols. Phytosanitary status determination algorithm model classification steps are presented. Evaluation of the applicability of the proposed model is shown by solving the problem of determining the phytosanitary status of cotton using leaf images.
| Mualliflar | Tillavoldiyev, Azizbek, Radjabov, Sobirjon, Mirzayeva, Gulmira, Allayorov, J.A. |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2023-12-11 |
| Son | 4 |
| Betlar | 54-59 |
| Til | Rus |
fitosanitar holatini aniqlash, asosiy tasvir boʻlaklari, tashxisiy belgilar, afzal belgilar, umumiy bahoni hisoblash
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