Abstract
Ushbu maqolada g‘o‘za agrotsenozlarida uchraydigan fitoparazit nematodalarni aniqlashda zamonaviy raqamli diagnostika va sun’iy intellekt texnologiyalaridan foydalanishning afzalliklari hamda an’anaviy morfologik diagnostika usullarining kamchiliklari, digital microscopy, image analysis, machine learning va automated identification texnologiyalarining afzalliklari haqida ma’lumotlar keltirilgan. Shuningdek, AI taxonomy tizimlarining fitonematodalarni tez va aniq identifikatsiya qilishdagi istiqbollari ko‘rib chiqilgan.References
1. O‘zbekiston Respublikasi Prezidentining Farmoni. (2020). "Raqamli O‘zbekiston- 2030" strategiyasini tasdiqlash va uni samarali amalga oshirish chora-tadbirlari to‘g‘risidagi PF-6079-sonli farmoni. Lex.uz Milliy qonunchilik bazasi.
2. Mavlonov O. X., & Raximov A. K. (2019). O‘zbekiston fitonematodalari ekologiyasi va geografiyasi. Toshkent: Fan va texnologiya nashriyoti. 115-118-b.
3. Castillo P., Vovlas N. Bionomics and Identification of Root-knot Nematodes. — Leiden: Brill, 2007. — 300 p.
4. Costa M., et al. Image Analysis Techniques for Nematode Identification // Computers and Electronics in Agriculture. — 2021. — Vol. 181. — P. 201–210.
5. Eisenback J.D. Identification Guide to the Most Common Species of Root-knot Nematodes. — Raleigh: North Carolina State University, 1985. — 48 p.
6. Handoo Z.A. Digital Imaging in Nematode Taxonomy // Journal of Nematology. —
7. — Vol. 50. — P. 45–58.
8. Jones J.T. Future of Digital Plant Pathology // Plant Disease. — 2022. — Vol. 106. — P. 70–82.
9. Li S., Wang X. Artificial Intelligence in Agricultural Diagnostics // Smart Agriculture. — 2023. — Vol. 5. — P. 90–103.
10. Mai W.F., Mullin P.G. Plant-parasitic Nematodes: A Pictorial Key to Genera. — Ithaca: Cornell University Press, 1996. — 277 p.
11. Nickle W.R. Plant and Insect Nematodes. — New York: Marcel Dekker Inc., 1984. — 925 p.
12. Patel N. Computer Vision Systems in Plant Pathology // Biosystems Engineering. —
13. — Vol. 211. — P. 210–219.
14. Perry R.N., Moens M. Plant Nematology. — Wallingford: CABI Publishing, 2013. — 568 p.
15. Sasser J.N. Root-knot Nematodes: A Global Menace to Crop Production. — Raleigh: North Carolina State University, 1980. — 230 p.
16. Singh R. Machine Learning Approaches in Nematode Detection // Artificial Intelligence in Agriculture. — 2022. — Vol. 6. — P. 120–132.
17. Sharma K. AI-based Monitoring of Soil Pathogens // Plant Protection Science. —
18. — Vol. 58. — P. 75–81.
19. Wang D. Automated Identification Systems for Plant Nematodes// Agriculture Technology. — 2024. — Vol. 9. — P. 55–67.
20. Zhang Y. Precision Agriculture Technologies and Plant Protection// Agriculture Review. — 2023. — Vol. 14. — P. 140–152.
21. Кирьянова Е.С., Кралль Э.Л. Паразитические нематоды растений и меры борьбы с ними. — Л.: Наука, 1971. — Т. 2. — 447 с.
22. Парамонов А.А. Основы фитогельминтологии. — Москва: Наука, 1962. — 480

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