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- Williams, A.L., et al. Show all 5 Authors
- Applied engineering in agriculture 2010 v.26 no.2 pp. 343-350
- prediction; electronic nose; neural networks; odors; sensory evaluation; equipment performance
- ... An electronic nose was used in conjunction with a human panel and artificial neural networks to predict human assessments on a hedonic (pleasantness) scale of various odors, including fragrances, spent and phase I mushroom substrate odors. After calculating the average rating from the human panel for each odor sample, the hedonic rating was matched with the 32 electronic nose sensor readings from ...
- WILLIAMS, A.L., et al. Show all 8 Authors
- Global change biology 2008 v.14 no.5 pp. 1018-1024
- dissolved organic nitrogen; carbon dioxide; terrestrial ecosystems; carbon dioxide enrichment; ion exchange; soil; carbon; emissions; ammonium nitrate; grasslands; climate
- ... Rising atmospheric carbon dioxide concentration ([CO₂]) has the potential to stimulate ecosystem productivity and sink strength, reducing the effects of carbon (C) emissions on climate. In terrestrial ecosystems, increasing [CO₂] can reduce soil nitrogen (N) availability to plants, preventing the stimulation of ecosystem C assimilation; a process known as progressive N limitation. Using ion exchan ...