Year: 2025
Type: article
Abstract: Cotton is an important cash crop worldwide, and its production is related to the livelihoods of millions of farmers. However, cotton quality faces many challenges in the post-harvest stage, such as increased impurities due to improper harvesting methods and fiber deterioration caused by poor storage. This study focuses on improving cotton quality through post-harvest management technology. It systematically analyzes the key factors affecting cotton post-harvest quality, including harvesting time and methods, field processing and transportation, storage conditions, etc.; reviews advanced post-harvest processing technologies, such as cotton ginning process innovation, fiber grading and sorting, and moisture control methods; explores new technologies for cotton quality assessment and monitoring, including fiber quality parameter testing, digital monitoring, traceability systems, and quality certification mechanisms; evaluates the sustainability and economic impact of post-harvest technology, and analyzes it from the aspects of cost-effectiveness, environmental friendliness, and social effects; and takes Xinjiang as a case to introduce regional challenges, technology introduction, and its effectiveness. Finally, the future development direction of cotton post-harvest management technology is prospected, such as digital intelligent system integration, localized customization, and policy and institutional support. This study aims to provide a reference for improving cotton quality and value and promote the high-quality development of the cotton industry chain.
Source: Cotton Genomics and Genetics
Author: Zhen Li
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4412846882