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Agricultural Robotics

We have been involved in research in Agricultural Robotics and Automation since many years and have solved a lot of problems being faced by farmers.


Projects:
  • Weed Detection in Crops
  • Pest Detection in Crops
  • Disease Detection in Crops
  • Crop health monitoring
  • Crop mapping of Pakistan

We have so far produced 3 MS Theses and 2 BS Projects in this area.

We ran a 3-year project with University of Kaiserslautern, Germany from 2014-16. It was funded by DAAD Germany. The name of the project was AWeDeC (Automatic Weed Detection in Crops).

Currently, we are running another project with University of Kaiserslautern Germany from 2017-19, funded by DAAD Germany. The name of the project is DeFFAR (Detection of Fungus in Fields using Autonomous Robots).

Publications:


[Gondal2015] Muhammad Danish Gondal, Yasir Niaz Khan. Early Pest Detection from Crop using Image Processing and Computational Intelligence. FAST-NU Research Journal (FRJ), Volume 1, Issue 1, January 2015.
[Noor2014] Novaira Noor, Yasir Niaz Khan. Weed Detection in Wheat Fields using Computer Vision. 7th International Workshop on Field and Assistive Robotics (WFAR-7), Lahore, Pakistan, Oct 2014.
[Javed2014] Saleha Javed, Abdullah Tariq, Yasir Niaz Khan. Optimized Path Planning for unmanned Aircraft Systems in Weed Detection. 7th International Workshop on Field and Assistive Robotics (WFAR-7), Lahore, Pakistan, Oct 2014.

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