Artificial Intelligence (AI)-Internet of Things (IoT) based Environmental Monitoring System for Mushroom Cultivation

Team Members: Dr. M. Krishnaveni, Assistant Professor (SG), Department of Computer Science

Dr. M. K. Nisha, Assistant Professor, Department of Botany

Ms.E. Gaayathri Devi, Research Scholar, Department of Botany

Ms. V. Narmadha, Technical Assistant, DST CURIE-AI

Project Summary: Mushroom cultivation can help reduce vulnerability to poverty and strengthen livelihoods through the generation of a fast-yielding and nutritious source of food and a reliable source of income. AI-based mushroom cultivation employs the wireless network system to monitor the farming process and thus reduce human intervention. Biosensors can be used to monitor the temperature, humidity, carbon dioxide concentration, light intensity in a mushroom farm. The data will be collected to monitor the environmental conditions of the farm which will be connected with the control unit through a server. The current status of parameters is transmitted to the remote monitoring station via a pair of low[1]power ESP8266 as a Wi-Fi modem. The codes for the controller were written in the Arduino programming language, debugged, compiled, and burnt into the microcontroller using the Arduino integrated development environment (IDE). The collected sensor data of all the parameters will be stored in the Google cloud server. k- means clustering is used to implement the algorithm to develop a Decision Support System. Graphical User Interface tool will be developed using open source technologies to find the optimum environmental condition for mushroom cultivation. By the techniques used in this research, the environmental factors that affect the cultivation can be balanced, thus problems can be overcome to obtain a high yield of mushrooms.

                             Team visit at mushroom culture room                  Experimental study in mushroom culture room