Application of unsupervised clustering methods to the assessment of malodour in agriculture using an array of conducting polymer odour sensors

A - Papers appearing in refereed journals

Byun, H. G., Persaud, K. C., Khaffaf, S. M., Hobbs, P. J. and Misselbrook, T. H. 1997. Application of unsupervised clustering methods to the assessment of malodour in agriculture using an array of conducting polymer odour sensors. Computers and Electronics in Agriculture. 17, pp. 233-247.

AuthorsByun, H. G., Persaud, K. C., Khaffaf, S. M., Hobbs, P. J. and Misselbrook, T. H.
KeywordsAgricultural malodours; conducting polymer odour sensors; unsupervised cluster analysis; principal components analysis; Sammon mapping
Year of Publication1997
JournalComputers and Electronics in Agriculture
Journal citation17, pp. 233-247
Open accessPublished as non-open access
Funder project or code59
Project: 2460 4412

Permalink - https://repository.rothamsted.ac.uk/item/850qx/application-of-unsupervised-clustering-methods-to-the-assessment-of-malodour-in-agriculture-using-an-array-of-conducting-polymer-odour-sensors

17 total views
0 total downloads
0 views this month
0 downloads this month