Oil palm USB (Unstripped Bunch) detector trained on synthetic images generated by PGGAN
Identifying Unstriped Bunches (USB) is a pivotal challenge in palm oil production, contributing to reduced mill efficiency. Existing manual detection methods are proven time-consuming and prone to inaccuracies. Therefore, we propose an innovative solution harnessing computer vision technology. Speci...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Muhammadiyah Yogyakarta
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/40352/1/Oil%20palm%20USB_Unstripped%20Bunch_%20detector%20trained%20on%20synthetic%20images%20generated%20by%20PGGAN.pdf http://umpir.ump.edu.my/id/eprint/40352/ https://doi.org/10.18196/jrc.v4i5.19499 https://doi.org/10.18196/jrc.v4i5.19499 |
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