An optimized IoT based framework for enhancing mushroom cultivation

Precision mushroom cultivation is required for improving the efficiency and productivity of the limited agricultural resources by observing the real-time data of the mushroom huts. The aim of the given research is to develop a cost-effective Internet of Things (IoT)-oriented sensor system for the collection of data using a graphical user interface (GUI). In this, different sensors are used to collect the requisite information, such as DHT22 for temperature and humidity and MQ136 for CO₂. Raspberry Pi used as an edge server of the network for data analysis. SQL is used to collect data at the server node, and it is visualized with the help of GUI. The data trend reveals the different patterns between CO₂, temperature, and humidity by maintaining relationships among these parameters. Also, the given paper collects the real-time dataset with the help of a sensor system, which eventually helps in enhancing mushroom production in order to improve the economic condition of farmers. Lastly, the performance of the proposed framework is validated and compared with existing recent studies based on evaluation metrics such as accuracy (%), precision (%), and recall (%).