• Senthilkumar K
• Parthiban.A
• Sharmila.S

This paper proposes a new image processing technique for automatic identification of weed and crop plants in agriculture field. In digital image processing, image matching is one of the primary areas which include object detection and recognition. In this research work point feature matching based on SURF method is used to detect and recognize crop and weed plants. The proposed method is based on comparing and analyzes the points of interest between the reference image and sample image.

Weed detection, SURF features, Image matching, Precision Agriculture

"POINT FEATURE MATCHING BASED SURF FEATURE EXTRACTION FOR THE DETECTION CORN AND WEED PLANTS IN CROP FIELD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.198-201, December-2018, Available :http://www.jetir.org/papers/JETIR1812C28.pdf

"POINT FEATURE MATCHING BASED SURF FEATURE EXTRACTION FOR THE DETECTION CORN AND WEED PLANTS IN CROP FIELD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp198-201, December-2018, Available at : http://www.jetir.org/papers/JETIR1812C28.pdf