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

• Main Authors: Harris, Christopher G., Andika, Ignatius P., Trisyono, Y. Andi
• Format: Conference or Workshop Item PeerReviewed
• Language: English
• Published: 2022
• Subjects: Plant Pathology; Agricultural Land Management
• Online Access: 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
• Institution: Universitas Gadjah Mada

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...