Computer ScienceEnvironmental ScienceMathematics

A. Nabout, R. Gerhards, B. Su, H. A. N. Eldin, W. Kühbauch

1994.4.21Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

DOI: 10.1109/iai.1994.336686

tlooto Summary

The fuzzy set theory was applied to identify weed species and it was shown that the average rate of correct identification has improved from 67% to greater than 82%.

Abstract

The automatic identification of plant species is a great challenge because their patterns are complex and uncertain. In this paper, the fuzzy set theory was applied to identify weed species. A membership function was established. The experiment has shown, that the average rate of correct identification has improved from 67% to greater than 82%.<<ETX>>

Citation format

NABOUT, A., et al. Plant species identification using fuzzy set theory. Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 1994: 48–53.