Work

Assessment of Macadamia Nutrients Using Hyperspectral Data and Machine Learning

Year: 2024

Type: conference-paper

Source: International Conference on Digital Image Computing: Techniques and Applications (DICTA)

DOI: 10.1109/dicta63115.2024.00083

Authors: Wafa Qaiser Khan, Michael Farrar, Mohammad Awrangjeb, Shahla Hosseini Bai, Stephen J. Trueman, Helen Wallace, Tarran E. Richards, Waqas Arshid

Institutions: Griffith University, Queensland University of Technology, Corteva (United States)

Language: English

Topic: Spectroscopy and Chemometric Analyses

Subfield: Analytical Chemistry

Field: Chemistry

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: closed

OpenAlex ID: W4407470533

FWCI:

Cites: 34

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Related to: 10