Pest and Disease Identification in the Growth of Sweet Peppers using Faster R-CNN

被引:3
|
作者
Lin, Tu-Liang [1 ]
Chang, Hong-Yi [1 ]
Chen, Kai-Hong [1 ]
机构
[1] Natl Chiayi Univ, Dept Management Informat Syst, Taoyuan, Taiwan
来源
2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW) | 2019年
关键词
D O I
10.1109/icce-tw46550.2019.8991893
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Plant pest control is very important, especially in the early stage. If the plant pests and diseases can be identified earlier, farmers can prevent them in advance and further avoid economic losses. Earlier identification of the pest and disease types can reduce the cost of pesticides. However, correct identification of pests and diseases requires knowledge and corresponding expertise, and this knowledge takes time to accumulate. Therefore, in this study, Faster R-CNN is adopted to develop a knowledge base system that can automatically identify plant pests and diseases.
引用
收藏
页数:2
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