2023 Volume 14 Issue 2 Pages 144-150
The purpose of this research was to implement smart mushroom cultivation by applying a sensor network and control algorithm to test the performance of the cultivation system and yield obtained compared to the conventional method. This research introduced innovative automated methods to the cultivation of rice-straw mushrooms by utilizing sensor technology and a controller with a control algorithm. The control algorithm automatically controlled the environment in the mushroom house based on feedback from the sensors to maintain the environment in an optimum condition for mushroom growth. The experimental setup included two cycles for growing the rice-straw mushrooms in different control environments, with three stages per cycle. The first stage was used during the vegetative phase, the second stage was used to control mushroom growth during the spawn-run phase, while the last stage was applied during the pinhead and cropping phases. The first cycle of the experiment was implemented to verify the circumstances surrounding mushroom growth under automated control based on three parameters: ambient temperature, relative humidity, and carbon dioxide (CO2). The experiment utilized one controller with four pieces of equipment to automate control based on those parameters, which included the ventilation fan, exhaust fan, sprinkler, and motor pump for the cooling pad. During the first cycle, some problems with the CO2 sensor and the exhaust fan were encountered, so it was necessary to implement a combination of manual control and automated control in the controlling algorithm for the second cycle. After completing these experiments, we determined that utilizing a combination of automatic and manual control, mushroom farmers will be able to save time, money, and labor while also increasing mushroom yield to satisfy market demand.
