A Performance Evaluation of Vis/NIR Hyperspectral Imaging to Predict Curcumin Concentration in Fresh Turmeric Rhizomes. - Michael B. Farrar; Helen M. Wallace; Peter Brooks; Catherine M. Yule; Iman Tahmasbian; Peter K. Dunn; Shahla Hosseini Bai (Remote. Sens., 2021)

Hyperspectral Imaging of Adaxial and Abaxial Leaf Surfaces for Rapid Assessment of Foliar Nutrient Concentrations in Hass Avocado. - Nimanie S. Hapuarachchi; Stephen J. Trueman; Wiebke Kämper; Michael B. Farrar; Helen M. Wallace; Joel Nichols; Shahla Hosseini Bai (Remote. Sens., 2023)

Assessment of Macadamia Nutrients Using Hyperspectral Data and Machine Learning. - Wafa Qaiser Khan; Michael B. Farrar; Mohammad Awrangjeb; Shahla Hosseini Bai; Stephen J. Trueman; Helen M. Wallace; Tarran E. Richards; Waqas Arshid (DICTA, 2024)

Hyperspectral imaging predicts macadamia nut-in-shell and kernel moisture using machine vision and learning tools. - Michael B. Farrar; Reza Omidvar; Joel Nichols; Daniele Pelliccia; Suhad Lateef Al-Khafaji; Iman Tahmasbian; Nimanie S. Hapuarachchi; Shahla Hosseini Bai (Comput. Electron. Agric., 2024)

Predicting Carbohydrate Concentrations in Avocado and Macadamia Leaves Using Hyperspectral Imaging with Partial Least Squares Regressions and Artificial Neural Networks. - Shahla Hosseini Bai; Mahshid Tootoonchy; Wiebke Kämper; Iman Tahmasbian; Michael B. Farrar; Helen Boldingh; Trisha Pereira; Hannah Jonson; Joel Nichols; Helen M. Wallace; Stephen J. Trueman (Remote. Sens., 2024)