Approach of AI-Based Automatic Climate Control in White Button Mushroom Growing Hall

Automatic climate management enables us to reduce repetitive work and share knowledge of different experts. An artificial intelligence-based layer manage in white button mushroom growing hall was presented this article. It combines visual data, data collected by sensors, technologists’ actions taken the hall. The employs analysis methods (morphological analysis, Fourier convolutional neural networks) extract indicators, such as percentage mycelium coverage number pins size per area unit. These indicators are used generate time series that represent dynamics process. incorporation synchronized obtained from with monitored allows for application a supervised learning decision making model automatically define necessary changes. Whereas managed parameters depend on production stage, three models were created correspond incubation, shock, fruiting stage process (using trees, K-nearest neighbors’ method). results showed trends selected remain similar during cultivations. Thus, decision-making allow definition majority cases which change or transition between stages is needed.