Indian Journal of Weed Science
  • Year: 2013
  • Volume: 45
  • Issue: 4

Expert system for identification of weed seedlings

  • Author:
  • V.S.G.R. Naidu*,1,3, H. Ravisankar2,3, Sandeep Dhagat3, Virendra Kamalvanshi3, A.R. Sharma3
  • Total Page Count: 4
  • Published Online: Dec 1, 2013
  • Page Number: 278 to 281

1Central Tobacco Research Institute, Rajahmundry, Andhra Pradesh, 533 105

2Central Tobacco Research Institute, Rajahmundry, Andhra Pradesh, 533 105

3Directorate of Weed Science Research, Jabalpur, Madhya Pradesh, 482 004

*Corresponding author: vsgrnaidu@gmail.com

Abstract

Weeds can be controlled effectively only when the management practices are employed at and early growth stage. Therefore, identifying weeds at seedlings stage is very essential for designing an efficient strategy for their management. However, it is a difficult task unless one has enough knowledge and experience. To help identifying weeds at seedling stage, an expert system has been developed at the Directorate. The expert system uses scientific name-based classification and a mix of the text description and images. The system is supported by a database containing information on 138 weed species with colour images of weed seedling at five growth stages. The expert system was evaluated following the conventional expert system evaluation methodologies. Results indicated that non-expert users were able to make weed seedling identification using the expert system more efficiently.

Keywords

Agriculture, Identification, Information, Knowledge, Expert system, Weed seedling