"Hyperspectral imaging predicts macadamia nut-in-shell and kernel moisture ..."

Michael B. Farrar et al. (2024)

> Home

Details and statistics

DOI: 10.1016/J.COMPAG.2024.109209

access: closed

type: Journal Article

metadata version: 2024-08-04

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/cea/FarrarONPATHB24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cea/FarrarONPATHB24
Michael B. Farrar, Reza Omidvar, Joel Nichols, Daniele Pelliccia, Suhad Lateef Al-Khafaji, Iman Tahmasbian, Nimanie S. Hapuarachchi, Shahla Hosseini Bai:
Hyperspectral imaging predicts macadamia nut-in-shell and kernel moisture using machine vision and learning tools. Comput. Electron. Agric. 224: 109209 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.