Weed Detection in Paddy Field Using Machine Vision
Author:
Affiliation:
1. Chonnam National University
2. Korea Institute of Science and Technology
3. Myongji University
Publisher
Trans Tech Publications, Ltd.
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
https://www.scientific.net/KEM.270-273.1038.pdf
Reference9 articles.
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2. T. Borregaard, H. Nielsen., L. Norgaard and H. Have: J. Agric. Eng. Res. Vol. 75 (2000), p.389.
3. E. Vrindts, J. De Baerdemaeker and H. Ramon: Precision Agriculture. Vol. 3 (2002), p.63.
4. N. Wang, N. Zhang, F.E. Dowell, Y. Sun and D.E. Peterson: Trans. ASAE. Vol. 44-2 (2001), p.409.
5. C. Andreasen, M. Rudemo and S. Sevestre: Weed Research. Vol. 37 (1997), p.5.
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1. Classification of weed species in the paddy field with DCNN-Learned features;2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC);2020-06
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