3 papers
cs.LG2026
Non-destructive Identification of Oyster Species is possible from Hyperspectral Images with Machine Learning
Ethan Kane Waters, Max Wingfield, Aiden Mellor +2
Differentiating between oyster species is important for developing new commercial oyster species suited to production systems and is critical for traceability in seafood supply cha…
cs.LG2024
Machine Learning for Asymptomatic Ratoon Stunting Disease Detection With Freely Available Satellite Based Multispectral Imaging
Ethan Kane Waters, Carla Chia-ming Chen, Mostafa Rahimi Azghadi
Disease detection in sugarcane, particularly the identification of asymptomatic infectious diseases such as Ratoon Stunting Disease (RSD), is critical for effective crop management…
cs.CV2024
Sugarcane Health Monitoring With Satellite Spectroscopy and Machine Learning: A Review
Ethan Kane Waters, Carla Chia-Ming Chen, Mostafa Rahimi Azghadi
Research into large-scale crop monitoring has flourished due to increased accessibility to satellite imagery. This review delves into previously unexplored and under-explored areas…