Maqola

SMART SYSTEM FOR WHEAT DISEASES EARLY DETECTION

Rustam BaratovTashkent Institute of Irrigation and Agricultural Mechanization Engineers. National Research University. Address: Kary Niyaziy Str., 39, 100000, Tashkent, Uzbekistan. E-mail: [email protected];Himola SunnatillayevaTashkent Institute of Irrigation and Agricultural Mechanization Engineers. National Research University. Address: Kary Niyaziy Str., 39, 100000, Tashkent, Uzbekistan. E-mail: [email protected];Almardon MustafoqulovTashkent Institute of Irrigation and Agricultural Mechanization Engineers. National Research University. Address: Kary Niyaziy Str., 39, 100000, Tashkent, Uzbekistan. E-mail: [email protected]

Himičeskaâ tehnologiâ. Kontrolʹ i upravlenie/Chemical Technology. Control and Managementjournal2023en

ABI

Annotatsiya

This paper presents a smart system for early detection of wheat plant diseases in the vegetation period. The proposed smart system allows detecting three types of wheat diseases, particularly yellow rust, powdery mildew and septoria at early stage and significantly improves the soil and ecology by locally spraying harmful chemicals just to sickness plants. The proposed diagnostic program is created in the C++ programming language. The basic structure of the smart system consists of Raspberry PI 4 MODULE, Logitech HD Pro Webcam C920, buzzer, HC-SR04 distance sensor, DC motor driver, AC motor, power supply, relay and some digital devices.

Mavzular

Smart Agriculture and AI Greenhouse Technology and Climate Control

Identifikatorlar

DOI: 10.59048/2181-1105.1509

Iqtiboslar va manbalar

2 ta iqtibos 7 ta foydalanilgan manba

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