Imtiaz Hussain
KHAIRPUR: Two PhD scholars at Shah Abdul Latif University (SALU) have developed artificial intelligence systems to improve date fruit processing and detect sugarcane diseases, marking a major advancement for Pakistan’s agricultural sector. The research aims to enhance productivity, reduce crop losses, and support local farmers in Khairpur, a key contributor to the country’s date production.
The Institute of Computer Science at SALU hosted open defense seminars for Abdul Khalique and Aijaz Ahmed. Vice Chancellor Dr. Yousuf Khushk presided over the sessions, declaring both defenses successful after review by an expert panel. Dr. Khushk emphasized the societal relevance of the research and SALU’s ongoing commitment to date palm studies.
Abdul Khalique, supervised by Dr. Riaz Ahmed Shaikh, developed an AI system to automate date processing, including variety identification, size sorting, and quality grading. Using traditional machine learning models, the system achieved 99.3% accuracy in classifying date varieties, performing particularly well for Aseel dates. Size sorting and quality grading were highly precise, with future improvements planned for mid-sized and premium-grade dates.
Aijaz Ahmed, guided by Dr. Rafaqat Arain and Dr. Hidayatullah Shaikh, created a deep learning system to detect sugarcane diseases such as red rot and leaf scald. By analyzing leaf images, the system enables early detection, helping farmers reduce crop losses and strengthening Pakistan’s position as a leading sugar producer.
Pro-Vice Chancellor Dr. Wahid Bux Jatoi described the research as a significant integration of machine learning into agriculture, while Dean of Physical Sciences Dr. Noor Ahmed Shaikh stressed the importance of translating these innovations into practical solutions for society. The defense panel included Professors Dr. Zahid Abro, Dr. Ihsanullah Abro, Professor Hussain Abro, and Professor Kamran Hussain, along with other faculty members.
These AI-based innovations are expected to improve product quality, reduce losses, and enhance competitiveness for farmers, representing a major step forward in Pakistan’s adoption of smart agricultural technology.
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