AWeDeC (Automatic Weed Detection in Crops)

This is a project funded by DAAD Germany that was run in collaboration with the Robotics Research Lab at University of Kaiserslautern.

Goals:

Use robots to detect weeds in different kinds of crops.Weeds density is analyzed visually from the data gathered by a robot and weed density map is created for the farm. This map can then be used to do precision spray of herbicides. This results in higher efficiency of weed control and lesser cost of farming.

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.

Team:

  • Dr. Yasir Niaz Khan
  • Dr. Syed Atif Mehdi
  • Dr. Kh. M. Umar Suleman
  • Mr. Aamir Ishaq
  • Mr. Sibtain Abbas
  • Mr. Muhammad Awais
  • Ms. Novaira Noor
  • Ms. Taskeen Ashraf
  • Mr. Hamadul Qudous
  • Mr. Sheryar Raza
  • Ms. Saleha Javed
  • Mr. Abdullah
  • Mr. Umar Muzaffar
  • Mr. Shahzad