Мақола

A SMART SYSTEM FOR DETECTING ANATOMIC AND HISTOLOGICAL SYMPTOMS OF DISEASED AGRICULTURAL PLANTS

Rustam Baratov“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Kary Niyaziy Str., 39, 100000, Tashkent, Uzbekistan. E-mail: [email protected];Himola Sunnatillayeva“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Kary Niyaziy Str., 39, 100000, Tashkent, Uzbekistan. E-mail: [email protected];Alimardon Mamatovich Mustafoqulov“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Kary Niyaziy Str., 39, 100000, Tashkent, Uzbekistan. E-mail: [email protected]

Himičeskaâ tehnologiâ. Kontrolʹ i upravlenie/Chemical Technology. Control and Managementjournal2025en

ABI

Аннотация

This study describes a novel agricultural plant disease detecting smart system, capable of handling measured plant body parameters and images received by high resolution camera at the same time. The proposed plant disease detection method is based on evaluation of the signals received by measured and controlled plant body physical parameters like resistance, temperature and capacitance of the plant stem and image processing. An analogue plant model based on an electrical circuit with distributed parameters was developed. In addition, in the article the block diagram of the smart system for the early detection of plant diseases, the circuit diagram, its operation algorithm and operation software have been developed. Hence the article presents experimental data obtained as a result of measuring the physical parameters of the plant's body during one week.

Ҳали таржима қилинмаган

Мавзулар

Smart Agriculture and AI

Идентификаторлар

DOI: 10.59048/2181-1105.1613

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