An IoT-based ovitrap system applied for aedes mosquito surveillance

Since the number of dengue fever cases has become the endemic disease in Malaysia, there is an urgent need for rapid and efficient calculation of mosquito population particularly for early detection and control measures. An ovitrap surveillance is used to determine the density of Aedes mosquito and it is one of the implemented methods for vector control application. In this study, the prototype of an IoT-Based ovitrap system was developed to automatically and simultaneously detect the Aedes mosquitoes using NodeMCU as the main IoT platform. The existing sticky ovitrap was modified to integrate the selected IoT components and to ensure its functionality for automatic detection. There were two phases being carried out in this study in which phase 1 evaluated the right and suitable IoT components to be selected and applied for automatic detection. Integrating the selected IoT components and modification of present ovitrap was carried out in phase 2 and the final revised design was considered. SWOT analysis and Pugh chart analysis, also known as decision matrix method, were used to select the best IoT components and final ovitrap design. It has been observed that prototype D was the best design and able to detect the adult mosquitoes. Based on the lessons learned in the development of IoT-based ovitrap, the VL503LOX V2 Distance Laser Range Sensor is over sensitive in detecting mosquitoes and less attracting as compared to conventional ovitrap. Thus, a few modifications to this prototype have been recommended to be employed for Aedes mosquito’s surveillance in future studies.