Engineering interventions and their effects on oyster mushroom cultivation- A systematic review
Keywords:
Oyster Mushroom, productivity, internet of things (IoT), Sensor, Machine learning.Abstract
Oyster mushrooms are rich in protein, minerals, and fibre with no cholesterol content. It also has medicinal properties. The consumption of oyster mushrooms is increasing, and their production is far below its demand. Oyster mushrooms’ yield and nutrient content depend on the substrate, environmental conditions, quality of spawn, stage of mushroom at the time of harvest, etc. Different engineering methods are used in various operations during oyster mushrooms cultivation. This review paper aims to identify engineering systems or techniques used in oyster mushroom cultivation to improve the quality and yield of mushrooms and reduce drudgery, time, and human resource requirement. The available literature is extensively analysed to determine the different engineering inputs and their effects on oyster mushroom cultivation. Adopting the internet of things (IoT), automatic temperature and humidity control systems, machine learning, LED lights, etc., reduced the drudgery and human resources requirements. Also, the oyster mushroom’s quality and yield are improved compared to the conventional cultivation practice. The present paper provides scope for developing new machines/equipment for a particular operation in oyster mushroom cultivation.