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A Comparison of HOG-SVM and SIFT-SVM Techniques for Identif..:
, In:
2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS)
,
Harris, Christopher G.
;
Andika, Ignatius P.
;
Trisyono, Y. Andi
- p. 107-112 , 2022
Link:
https://doi.org/10.1109/CITDS54976.2022.9914061
RT T1
2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS)
: T1
A Comparison of HOG-SVM and SIFT-SVM Techniques for Identifying Brown Planthoppers in Rice Fields
UL https://suche.suub.uni-bremen.de/peid=ieee-9914061&Exemplar=1&LAN=DE A1 Harris, Christopher G. A1 Andika, Ignatius P. A1 Trisyono, Y. Andi YR 2022 K1 Support vector machines K1 Insects K1 Crops K1 Data science K1 Information technology K1 Forecasting K1 HOG K1 SIFT K1 SVM K1 pest identification K1 brown planthopper K1 insect identification K1 feature descriptors K1 computer vision K1 Adaboost SP 107 OP 112 LK http://dx.doi.org/https://doi.org/10.1109/CITDS54976.2022.9914061 DO https://doi.org/10.1109/CITDS54976.2022.9914061 SF ELIB - SuUB Bremen
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