Researches Agrobotics Research Group

Agrobotics Research Group



The Agrobotics Research Group focuses on cutting-edge automation and robotics solutions tailored for the agricultural sector. The group integrates advanced sensing, machine vision, AI-driven decision-making, precision mechatronic systems and advanced manufacturing systems to enhance efficiency in farming operations.

It has two primary streams: autonomous field robotics and smart agro-processing systems. The group benefits from a shared facility, the “Agri-domain,” of Robot Design and Development Lab, NCRA, which serves as a hub for developing and testing agri-robotic solutions in collaboration with NCRA Labs, startups, academia, and industry stakeholders. Key research themes include autonomous navigation for agricultural robots, AI-driven crop monitoring and disease detection, robotic harvesting and sorting systems, automated irrigation and resource management, development of UAVs for precision agriculture, and sustainable agro-mechatronic solutions aimed at optimizing yield while minimizing environmental impact.

Members:

S.No Name Designation Specialization Contact Details
1 Dr Umar Shahbaz Khan Professor Embedded Systems [email protected]

 

2 Dr Tahir Nawaz Associate Professor Autonomous Vehicles & Computer Vision [email protected]

 

3 Dr Danish Hussain Associate Professor Intelligent Autonomous Robotics [email protected]

 

4 Dr Anas Bin Aqeel Assistant Professor Agriculture Robotics & Additive Manufacturing [email protected]

 

5 Dr Ayesha Zeb Assistant Professor Precision Agriculture & Machine Learning [email protected]

 

6 Kanwal Naveed Assistant Professor Machine Learning [email protected]

 

Featured Projects

  • Autonomous Multipurpose Agribot for Precision Farming Applications
  • AI-Enabled Robotic System for Smart Weeding, Seeding, and Harvesting
  • Machine Learning-Based Fruit Maturity Detection for Precision Harvesting
  • Development of UAV-Based Non-Destructive Fruit Quality Inspection System
  • Autonomous Drone-Based Crop Monitoring and Health Assessment
  • Autonomous Weed Removal Robots for Sustainable Farming

Funding

  • “Design and Development of  Multipurpose Agribot for Smart Farming” (3.2 Mn PKR)

PhD Dissertation

  • Development of Decision Support System for Non-Destructive Fruit Quality Estimation

Ayesha Zeb

PhD Student – Graduated in Dec 2022

  • Efficient Classification of Weeds in Crops for Autonomous Spray Application

Syed Imran Moazzam Shah

PhD Student – Graduated in Jan 2023