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Unsupervised machine learning via Hidden Markov Models for accurate clustering of plant stress levels based on imaged chlorophyll fluorescence profiles & their rate of change in time
Computers and Electronics in Agriculture,
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Australasian Physical & Engineering Sciences in Medicine,
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DOI:10.1002/jemt.22998
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2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA),
2017
DOI:10.1109/CIVEMSA.2017.7995328
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