{'fraction_non_alphanumeric': 0.010040160642570281, 'fraction_numerical': 0.0, 'mean_word_length': 5.48051948051948, '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}}
A fuzzy approach to greenhouse climate control

The methodology proposed in the paper deals with the use of artificial intelligence techniques in the modelling and control of climate variables within a greenhouse. The nonlinear physical phenomena governing the dynamics of temperature and humidity on such systems are, in fact, difficult to be modelled and controlled using traditional techniques. The paper proposes a framework for the development of fuzzy logic controllers in modern greenhouses.