Using a Two-Stage HOG-SVM / CNN Model to Identify and Classify Forms of Brown Planthoppers

Using a Two-Stage HOG-SVM / CNN Model to Identify and Classify Forms of Brown Planthoppers

Approximately ten percent of rice crop yields throughout the Asia-Pacific region are reduced due to pests called brown planthoppers (BPH). We use a two-stage model to identify BPH from rice crop images and use these to determine the form of each BPH in the image, which has implications for predictin...

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書目詳細資料
Main Authors:	Harris, Christopher G., Andika, Ignatius P., Trisyono, Y. Andi
格式:	Conference or Workshop Item PeerReviewed
語言:	English
出版:	2022
主題:	Plant Pathology Agricultural Land Management
在線閱讀:	https://repository.ugm.ac.id/282685/1/Using_a_Two-Stage_HOG-SVM___CNN_Model_to_Identify_and_Classify_Forms_of_Brown_Planthoppers.pdf https://repository.ugm.ac.id/282685/ https://ieeexplore.ieee.org/document/10119374
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Universitas Gadjah Mada
語言:	English

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