Oyster Mushroom Farming with IoT and Artificial Intelligence: A Comprehensive Review
DOI:
https://doi.org/10.52151/jae2025622.1920Keywords:
deep learning, Internet of Things, machine learning, sensors, substrate materialAbstract
Oyster mushrooms are rich in protein, minerals, and fiber. They provide a nutritious, cholesterol-free food source with medicinal benefits. Despite their increasing popularity, oyster mushroom production faces challenges to meet current demand. This article explores how the Internet of Things (IoT) and Artificial Intelligence (AI) are revolutionising oyster mushroom cultivation, enhancing yield and quality through precise climate control, automation in management, and predictive analytics. Due to the limitation of suitable articles describing oyster mushroom farming with IoT and AI, only thirty-eight relevant articles were reviewed and analysed for this study. Within the existing literature, various machine learning and deep learning architectures have been deployed in oyster mushroom cultivation, demonstrating proficiency in specific tasks. Temperature and humidity sensors, often integrated with microcontrollers, emerged as the predominant choice for regulating the microclimate within mushroom houses. Through a comprehensive literature review, it is evident that integrating IoT and AI has the potential to boost mushroom yield and quality while reducing labour requirements in mushroom houses.
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