International Journal of Applied Research on Information Technology and Computing
  • Year: 2014
  • Volume: 5
  • Issue: 1

Expert System for Identification of Weeds

  • Author:
  • V.S.G.R. Naidu1,, H. Ravisankar2,, Dhagat Sandeep3,, V. Kamala Vansi4,, A.R. Sharma5,
  • Total Page Count: 7
  • Published Online: Apr 1, 2014
  • Page Number: 48 to 54

1Senior Scientists, Directorate of Weed Science Research, Jabalpur, Madhya Pradesh, 482004, India

2Senior Scientists, Central Tobacco Research Institute, Rajahmundry, Andhra Pradesh – 533 105, India

*Corresponding author email id: *vsgrnaidu@gmail.com

**hravisankar@india.com

***virendra.kamal@gmail.com

****dhagatsandeep@gmail.com

*****sharma.ar@rediffmail.com

Abstract

Identification of weeds is essential for designing an efficient strategy for their management. However, it is a difficult task requiring expert knowledge and experience. An expert system to help researchers, farmers, extension workers and students to identify weed species of crop and non-crop lands has been developed at the Directorate of Weed Science Research, Jabalpur. The expert system uses family, scientific, common name-based classification and a mix of the text description and photographs. The system is supported by a database containing information about 337 weed species with colour images. The expert system was evaluated following the conventional expert system evaluation methodologies. Results indicated that non-expert users were able to make weed identification using the expert system efficiently.

Keywords

Agriculture, Identification, Information, Knowledge, System, Weed