SELECTION OF INPUT MAGNITUDE FOR INVESTIGATING KINEMATIC AND STRUCTURAL PARAMETERS OF VSH PTM ELLIPTICAL DRUM COTTON PICKING APPARATUS

Authors

  • Abdazimov Anvar Daniyarovich
  • Ravutov Shavkat Tajiyevich
  • Rajapbayev Umidjon Alisher o’g’li

DOI:

https://doi.org/10.5281/zenodo.21671504

Abstract

This article investigates the selection of an input indicator for studying the kinematic and structural parameters
of an elliptical drum in a vertical-spindle cotton-picking apparatus. The relevance of the study is associated with the need to
improve the completeness and quality of mechanised cotton harvesting. The aim is to substantiate apparatus parameters
through an assessment of field agrotechnical conditions. The research is based on field observations conducted during the
2025 harvesting season. The number of cotton plants and open bolls was recorded in three-metre row sections. The leastsquares
method was applied to process the collected data. A positive linear relationship between plant number and openboll
count was identified. The scientific novelty lies in proposing a regression-based approach that uses field indicators to
select elliptical-drum parameters.

Keywords

cotton-picking apparatus, elliptical drum, vertical spindle, kinematic parameter, structural parameter, open boll, experimental design, least-squares method, regression model.

Author Biographies

Abdazimov Anvar Daniyarovich

Professor (DSc) at transport systems department
Tashkent State Technical University

Ravutov Shavkat Tajiyevich

Tashkent State Technical University
Associate professor (Phd) at Transport systems department

Rajapbayev Umidjon Alisher o’g’li

“Tashkent Institute of Irrigation and Agriculture Mechanization Engineers” National Research University
PhD student at Agricultural technology department

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Published

2026-07-01

How to Cite

Abdazimov , A., Ravutov , S., & Rajapbayev , U. (2026). SELECTION OF INPUT MAGNITUDE FOR INVESTIGATING KINEMATIC AND STRUCTURAL PARAMETERS OF VSH PTM ELLIPTICAL DRUM COTTON PICKING APPARATUS. Innovation Science and Technology, 2(7), 186–190. https://doi.org/10.5281/zenodo.21671504
Vol. 2 No. 7 (2026): Innovation Science and Technology