Cotton AI - Cotton Lint Quality Prediction System

CottonAI is an AI-powered cotton lint grading system designed to modernize the traditional cotton quality assessment process in Pakistan’s textile industry. Cotton quality directly affects fabric production, pricing, and export value, yet current grading methods are mostly manual, time-consuming, subjective, and inconsistent, while advanced systems like HVI are expensive and inaccessible for many stakeholders. CottonAI addresses this challenge by using Artificial Intelligence and Computer Vision to analyze cotton lint images and predict quality grades based on features such as texture, color, cleanliness, and fiber appearance. Real cotton lint samples were collected from industrial sources and used to train deep learning models, including CNN and Vision Transformer architectures, following internationally recognized grading standards. The project also includes a user-friendly mobile application interface to support practical industrial and field usage. The primary goal of CottonAI is to provide a fast, affordable, accurate, and standardized grading solution that improves transparency, supports fair pricing for farmers, and enhances the efficiency and competitiveness of the textile supply chain.

Poster