
Mr. Sibulele Hermanus is pursuing an M.Sc. project focused on developing a low-cost, printed electronic nose (e-Nose) for detecting early stress in Eucalyptus trees via volatile organic compounds (VOCs). The study combines sensor engineering and machine learning, including optimisation of interdigitated electrode (IDE) geometry, selection of printable metal oxide (MOX) inks, and refinement of annealing conditions to improve sensitivity and thermal performance.
The system is being tested on Eucalyptus trees exposed to salinity stress (75 and 150 mM NaCl), with validation using gas chromatography–mass spectrometry (GC-MS). The aim is to develop a portable, non-invasive, and cost-effective diagnostic tool for early plant stress detection in forestry applications.


