№ 66-1 (том 2): ОБРАЗОВАНИЕ И НАУКА В XXI ВЕКЕ, Сентябрь, 2025
Научно-образовательные статьи

USING ARTIFICIAL INTELLIGENCE FOR DETECTION OF PLANT DISEASE

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  • Orazberdiyev Gadyr,
  • Agayeva Gulendam,
  • Shawkatova Munira,
  • Kerimkulyyeva Selbi,
  • Mammedov Didar
Orazberdiyev Gadyr
Oguz han Engineering and technology university of Turkmenistan
Agayeva Gulendam
Oguz han Engineering and technology university of Turkmenistan
Shawkatova Munira
Oguz han Engineering and technology university of Turkmenistan
Kerimkulyyeva Selbi
Oguz han Engineering and technology university of Turkmenistan
Mammedov Didar
Oguz han Engineering and technology university of Turkmenistan

Опубликован 11.09.2025

Как цитировать

G. Orazberdiyev, G. Agayeva, M. Shawkatova, S. Kerimkulyyeva, & D. Mammedov. (2025). USING ARTIFICIAL INTELLIGENCE FOR DETECTION OF PLANT DISEASE. ОБРАЗОВАНИЕ И НАУКА В XXI ВЕКЕ, 66-1 (том 2). https://mpcareer-google.ru/index.php/journal/article/view/3022

Аннотация

Plant diseases significantly impact global food security and agricultural productivity. Traditional methods for detecting plant diseases often rely on manual inspection, expert knowledge, or laboratory testing, which can be time-consuming and inefficient. In recent years, Artificial Intelligence (AI) has emerged as a transformative approach for rapid, accurate, and scalable detection of plant diseases. This article provides a comprehensive overview of AI-based methods for plant disease identification, examines current applications and challenges, and discusses potential directions for future research in precision agriculture.

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Библиографические ссылки

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