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...
محفوظ في:
المؤلفون الرئيسيون: | Harris, Christopher G., Andika, Ignatius P., Trisyono, Y. Andi |
---|---|
التنسيق: | Conference or Workshop Item PeerReviewed |
اللغة: | English |
منشور في: |
2022
|
الموضوعات: | |
الوصول للمادة أونلاين: | 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 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
A Comparison of HOG-SVM and SIFT-SVM Techniques for Identifying Brown Planthoppers in Rice Fields
بواسطة: Harris, Christopher G., وآخرون
منشور في: (2022) -
Mechanism and Resistance Level of Inpari 13 to Field Populations of Brown Planthopper Collected from Klaten and Bantul
بواسطة: , Dwi Erita, وآخرون
منشور في: (2013) -
WEATHER BASED PREDICTION METHOD FOR BROWN PLANTHOPPER
بواسطة: Aryanto Gultom, Roby -
Crowd Estimation Using Region-Specific HOG with SVM
بواسطة: Ilao, Joel P., وآخرون
منشور في: (2018) -
Automatic mango detection using image processing and HOG-SVM
بواسطة: Baculo, Maria Jeseca C., وآخرون
منشور في: (2018)