363

  • Web Address
  • DOI
  • Date of creation in the UzSCI system 09-02-2022
  • Read count 363
  • Date of publication 03-11-2021
  • Main LanguageO'zbek
  • Pages12-14
Tags
English

This article presents the data studied and analyzed in order to create an intelligent system for measuring and controlling the physiological state of the wheat plant during the growing season. The classification of factors influencing the physiological state of the wheat plant and the causes of their origin are analyzed. The fundamental basis for the detection of early-stage symptoms of the disease has been studied.

Tags
№ Author name position Name of organisation
1 Baratov R.. “Электротехника ва мехатроника” кафедраси доценти ТИҚХММИ МТУ
2 Valixonova H.. “Электротехника ва мехатроника” кафедраси 1-курс таянч докторанти ТИҚХММИ МТУ
№ Name of reference
1 1. Дувелиллер Е, Сингх П.К, Меццалам М. Болезни и вредители пшеницы. Анкара-2018. 19 стр.
2 2. Прескотт Дж. М, Бурнетт П. А, Сари Е.Е, Рансом Дж, Боуман Дж, Миллиано В, Сингх Дж, Бекеле Г. Болезни и вредители пшеницы.25-ст
3 3. Suresh Mr.V, Gopinath D, M Hemavarthini. Plant Disease Detection using Image Processing. International Journal of Engineering Research & Technology.
4 4. Gittaly Dhingra, Vinay Kumar, Hem Dutt Joshi. Study of digital image processing techniques for leaf disease detection and classification. Multimedia Tools and Applications · August 2018
5 5. https://review.uz/post/rnok-pshenic-stabilnost-nevziraya-na-pandemiyu
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