Abstract:
Cotton is a white substance grow around the seeds of cotton plant. Cotton classification begun well back in 1780s with hand classing basing only on parameters. However, -nowadays at least 14 parameters are used to characterize and class cotton quality
In this research, an Uster HIV1000 was used to characterize cotton up to 14 parameters. Data from HIV100 was. printed out using a computer accessory. The data was analysed using Principal component analysis (PCA), Agghmerative Hierarchical Clustering (AHC) and descriptive statistics. significant -variables; the variations in quality according. to seasons and finally the evaluation and of the Ugandan. cotton lint according to quality was successfully done using Ugandan Standards and their International Equivalent Standards.
In my conclusion, most cotton from North and East was siT1ilar as indicated by both PCA and AFIC analysis tools indicating a similarity in seasonal changes the two regions compared to West. Generally, there was no distinct change in quality due to change in seasons. Also Uganda’s cotton quality like in previous research was found to ranges from middling to good middling (International standards) that "UCOP to UCON in Ugandan standards.
