| dc.contributor.author | M.Kh.Khakimova, M.I.Ochilova, O.O.Khimmatov | |
| dc.date.accessioned | 2025-10-17T08:15:53Z | |
| dc.date.available | 2025-10-17T08:15:53Z | |
| dc.date.issued | 2025-05-10 | |
| dc.identifier.issn | 2660-5643 | |
| dc.identifier.uri | https://dspace.kstu.uz/xmlui/handle/123456789/521 | |
| dc.description | The development of a convolutional neural network for monitoring cotton growth, which serves to increase
economic efficiency, is a pressing issue in our republic. This involves observing cotton's growth and development periods
under natural and anthropogenic factors, studying and assessing changes in its condition, examining the biology of
pests and diseases, controlling the phytosanitary state of crops, and monitoring the phenological, age-related, and
territorial distribution and development of harmful organism populations. This research aims to develop scientific
foundations for pest control.
Experiments were conducted in the light gray soils of the Kashkadarya region to study pest and disease control,
germination, growth and development, leaf area, photosynthetic potential, yield, technological quality indicators, and
economic efficiency of cotton. The study used the regionalized medium-fiber cotton variety "Bukhara-8" and fine-fiber
cotton variety "Marvarid," along with the stimulant "Tandem," the insecticide "Indoxamektin," and the fungicide
"Zeroks." | en_US |
| dc.description.abstract | This article analyzes the results of experiments using the "Tandem"
stimulator, "Indoxamektin" insecticide, and "Zeroks" fungicide to regulate
the growth and development of plants of the regionalized medium-fiber
"Bukhara-8" and fine-fiber "Marvarid" cotton varieties. The study aims to
mitigate their harmful effects on the environment and prevent abiotic and
biotic stresses observed during their ontogenesis. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | medium-staple cotton variety "Bukhoro-8" and fine-staple cotton variety "Marvarid," "Tandem" growth stimulator, "Indoksamektin" insecticide, "Zeroks" fungicide, convolutional neural network | en_US |
| dc.title | DEVELOPMENT OF A CONVOLUTIONAL NEURAL NETWORK FOR APPLYING STIMULATORS THAT INFLUENCE THE GROWTH AND DEVELOPMENT OF COTTON | en_US |
| dc.type | Article | en_US |
