• Future of Agriculture with Data Science & Analytics

    Author: Dr. Ayesha Hakim has a PhD in Computer Science from Massey University, New Zealand. She joined University of Auckland as Research Specialist and then joined Waikato Institute of Technology (WINTEC) as a Lecturer in Computer Science. She moved to Pakistan in 2018 where she is currently an Assistant Professor of Computer Science at MNS-University of Agriculture, Multan.  She is IEEE counsellor and focal person of blended learning and LMS. Her research interests include data science, precision agriculture, shape and audio analysis. She is currently working on developing computational systems for insect-pest surveillance, identification and control using AI and IoT applications.

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    Agriculture is the backbone of Pakistan’s economy and plays a vital role in the overall development and progress of the country. It is about producing food and relevant products by raising certain crops and managing livestock for desired purposes. Farmer is the key person who is responsible for preparing fields, sowing seeds, managing irrigation, protecting crops from pests, and harvesting the crops at the right time. There are a lot of different factors affecting the crop production and quality including soil composition and condition, weather patterns, temperature, light intensity, water level, diseases, pests and weeds in the field. The success of farming depends upon controlling all these factors to achieve the desired yield and quality of crops.