Optimizing Oyster Mushroom Cultivation with Solar-Powered Internet of Things: A Multiple Regression Analysis of Growth Metrics

This research is a thorough study to meet the traditional method of cultivating oyster mushrooms using solar-powered Internet of Things systems. In this study, different research methods were used, developmental, experimental, and correlational research. The developmental research was used to develop the solar-powered IoT that uses sensors, data transmission protocols, and uses energy to be more sustainable, energy-efficient, and able to operate in remote locations, particularly in areas where the traditional source is often unavailable. The experimental design was used to test if the solar-powered IoT system effectively cultivates oyster mushrooms. The experiment was done by designing two groups, experimental that used solar-powered IoT, and controlled that used traditional methods of growing oyster mushrooms. The last design is correlational, it was used to find out what environmental factors most significantly impact the growth of oyster mushrooms. The result shows that the group that used solar-powered IoT technology has an improvement in cap diameter, height, and stem count with p-values below 0.001, indicating significant enhancements. Although there were no differences in weight, mushrooms from the IoT group tended to be heavier. It was discovered in this study that it can help to improve the cultivation of mushrooms, increase the yield, and above all the use of renewable energy, a long-term operation that no longer depends on traditional power sources.