{'fraction_non_alphanumeric': 0.02340702210663199, 'fraction_numerical': 0.002600780234070221, 'mean_word_length': 5.416666666666667, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Handbook of Artificial Olfaction Machines Chapter 22 : Environmental Monitoring

In this chapter, we review some of the previous proof-of-principle work done in this field. Examples of water, land and air monitoring experiments are examined. Four case studies are then presented. The first three demonstrate the ability of the e-nose to classify odors from animal confinement facilities (odor source determination, odorant threshold detection, and odor abatement evaluation). The fourth case study demonstrates that the e-nose can differentiate between five types of fungi that commonly lower indoor air quality in office buildings and industrial plants. Finally, we conclude that environmental monitoring is a promising application area for electronic nose technology.