Daniel Cozzolino

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 7

Top Topics

Intrinsic Image Decomposition

Top Venues

Comput. Electron. Agric.

Publications

Shanmugam Alagappan, Siyu Ma, Joseph Robert Nastasi, Louwrens Christiaan Hoffman, Daniel Cozzolino
Evaluating the Use of Vibrational Spectroscopy to Detect the Level of Adulteration of Cricket Powder in Plant Flours: The Effect of the Matrix. Sensors 24 (3) (2024)
Adam Kolobaric, Rebecca Orrell-Trigg, Seth Orloff, Vanessa Fraser, James Chapman, Daniel Cozzolino
The Use of a Droplet Collar Accessory Attached to a Portable near Infrared Instrument to Identify Methanol Contamination in Whisky. Sensors 23 (21) (2023)
Daniel Cozzolino
Advantages and limitations of using near infrared spectroscopy in plant phenomics applications. Comput. Electron. Agric. 212 (2023)
Shanmugam Alagappan, Anran Dong, Deirdre Mikkelsen, Louwrens Christiaan Hoffman, Sandra Milena Olarte Mantilla, Peter James, Olympia Yarger, Daniel Cozzolino
Near Infrared Spectroscopy for Prediction of Yeast and Mould Counts in Black Soldier Fly Larvae, Feed and Frass: A Proof of Concept. Sensors 23 (15) (2023)
Louwrens Christiaan Hoffman, Dongdong Ni, Buddhi Dayananda, N. Abdul Ghafar, Daniel Cozzolino
Unscrambling the Provenance of Eggs by Combining Chemometrics and Near-Infrared Reflectance Spectroscopy. Sensors 22 (13) (2022)
Eshetu Bobasa, Anh Dao T. Phan, Michael Netzel, Heather E. Smyth, Yasmina Sultanbawa, Daniel Cozzolino
The Use of a Micro Near Infrared Portable Instrument to Predict Bioactive Compounds in a Wild Harvested Fruit - Kakadu Plum (Terminalia ferdinandiana). Sensors 21 (4) (2021)
Roberta De Bei, Sigfredo Fuentes, W. Sullivan, Everard J. Edwards, Steve Tyerman, Daniel Cozzolino
Rapid measurement of total non-structural carbohydrate concentration in grapevine trunk and leaf tissues using near infrared spectroscopy. Comput. Electron. Agric. 136 (2017)
Alberto S. Fassio, Ernesto A. Restaino, Daniel Cozzolino
Determination of oil content in whole corn (Zea mays L.) seeds by means of near infrared reflectance spectroscopy. Comput. Electron. Agric. 110 (2015)