WEED AND CROP SEGMENTATION AND CLASSIFICATION USING AREA THRESHOLDING

Su Hnin Hlaing, Aung Soe Khaing

Abstract: In the agricultural industry, the weed and crop identification and classification are major technical and economical importance. Two classification algorithms are focused in this paper. And the better classification algorithm has been selected to classify weed and crop from the images. There are three main parts of proposed system are segmentation, classification and error calculation. The developed algorithm based on area thresholding has been tested on weeds and various locations. Forty one sample images have been tested and the result of some weed coverage rate is illustrated. Moreover, the misclassification rate is also computed. An algorithm has been done to automate the tasks of segmentation and classification. The overall process is implemented in MATLAB.

Keywords: Objects segmentation, Image processing, Plant classification, Area Thresholding

DOI: https://doi.org/10.15623/ijret.2014.0303069