[HTML][HTML] Rapid assessment of heavy metal accumulation capability of Sedum alfredii using hyperspectral imaging and deep learning

Y Lu, L Nie, X Guo, T Pan, R Chen, X Liu, X Li… - Ecotoxicology and …, 2024 - Elsevier
Hyperaccumulators are the material basis and key to the phytoremediation of heavy metal
contaminated soils. Conventional methods for screening hyperaccumulators are highly …

Hyperspectral imaging predicts macadamia nut-in-shell and kernel moisture using machine vision and learning tools

MB Farrar, R Omidvar, J Nichols, D Pelliccia… - … and Electronics in …, 2024 - Elsevier
Tree nuts are a convenient and nutritious food source and recently considerable attention
has been placed on quality assessment to provide high quality nuts and improve consumer …

[HTML][HTML] Hyperspectral imaging predicts free fatty acid levels, peroxide values, and linoleic acid and oleic acid concentrations in tree nut kernels

T Gama, MB Farrar, M Tootoonchy, HM Wallace… - LWT, 2024 - Elsevier
Imaging technologies are advancing rapidly in food processing systems to reduce food
waste. However, modelling techniques, sample sizes and dataset proportioning methods …

[HTML][HTML] Predicting Carbohydrate Concentrations in Avocado and Macadamia Leaves Using Hyperspectral Imaging with Partial Least Squares Regressions and …

SH Bai, M Tootoonchy, W Kämper, I Tahmasbian… - Remote Sensing, 2024 - mdpi.com
Carbohydrate levels are important regulators of the growth and yield of tree crops. Current
methods for measuring foliar carbohydrate concentrations are time consuming and …

The Potential for Hyperspectral Imaging and Machine Learning to Classify Internal Quality Defects in Macadamia Nuts.

MB Farrar, M Martinez, K Jones, N Omidvar… - …, 2024 - search.ebscohost.com
Tree nuts are rich in nutrients, and global production and consumption have doubled during
the last decade. However, nuts have a range of quality defects that must be detected and …