Issue |
BIO Web Conf.
Volume 105, 2024
IV International Conference on Agricultural Engineering and Green Infrastructure for Sustainable Development (AEGISD-IV 2024)
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Article Number | 03008 | |
Number of page(s) | 7 | |
Section | Digital Technologies and Automation in Agriculture | |
DOI | https://doi.org/10.1051/bioconf/202410503008 | |
Published online | 26 April 2024 |
A bibliographical analysis of papers of cotton-picking machinery for the period 1972-2023 on Scopus database
1 Scientific research institute of agriculture mechanization, Yangiyul, Tashkent, Uzbekistan
2 Institute of Mechanics and Seismic Stability of Structures of the Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan
3 Urgench State University, Urgench, Uzbekistan
* Corresponding author: mansurbek.yutt@gmail.com
This paper presents a bibliographical analysis of scientific research on cotton-picking machinery, focusing on countries, years, authors, and publishers involved in this field. The study utilizes materials from the Scopus database, describing the sequence of analyses and presenting the results through graphs and histograms. Cotton is a crucial product for human life, and its ecologically clean demand is increasing yearly. Traditional cotton growing remains relevant in Uzbekistan, where cotton picking by machine is essential due to labor-intensive and expensive manual methods. The international cotton industry actively participates in creating and using cotton-picking machines, with more than 90 countries growing cotton on 32 million hectares, including Uzbekistan’s 1.07 million hectares. Since the 1970s, the USA and Uzbekistan have been the primary countries improving cotton-picking machines based on scientific and practical research. However, by the 21st century, countries like China, India, Turkey, and Israel have joined this field. This study aims to ensure that cotton-picking machines produced in Uzbekistan meet state standards by analyzing scientific research in this field, studying the advantages and disadvantages of machines from various countries, and staying updated on the latest developments through the Scopus database.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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