Improved hybrid feature extractor in lightweight convolutional neural network for postharvesting technology: automated oil palm fruit grading-Reference-Cited by-同舟云学术

Improved hybrid feature extractor in lightweight convolutional neural network for postharvesting technology: automated oil palm fruit grading

Published:2024-08-12 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Junos Mohamad Haniff,Mohd Khairuddin Anis Salwa^ORCID,Abu Talip Mohamad Sofian,Kairi Muhammad Izhar,Siran Yosri Mohd

Funder

Institut Pengurusan dan Pemantauan Penyelidikan, Universiti Malaya

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00521-024-10300-4.pdf

Reference66 articles.

1. Lai OM, Tan CP, Akoh CC (2012) The physicochemical properties of palm oil and its components. In: Lai O-M, Tan C-P, Akoh CC (eds) palm oil. AOCS Press, Illinois, pp 377–391

2. Owolarafe OK, Olabige MT, Faborode MO (2007) Physical and mechanical properties of two varieties of fresh oil palm fruit. J Food Eng 78:1228–1232. https://doi.org/10.1016/j.jfoodeng.2005.12.049

3. Fitzherbert EB, Struebig MJ, Morel A, Danielsen F, Brühl CA, Donald PF, Phalan B (2008) How will oil palm expansion affect biodiversity? Trends Ecol Evol 23:538–545. https://doi.org/10.1016/j.tree.2008.06.012

4. Taparugssanagorn A, Siwamogsatham S, Pomalaza-Ráez C (2015) A non-destructive oil palm ripeness recognition system using relative entropy. Comput Electron Agric 118:340–349. https://doi.org/10.1016/j.compag.2015.09.018

5. Choong TSY, Abbas S, Shariff AR, Halim R, Ismail MHS, Yunus R, Ali S, Ahmadun FR (2006) Digital image processing of palm oil fruits. Int J Food Eng 2:7–12. https://doi.org/10.2202/1556-3758.1090