In general, the industries utilize more number of rotating machines and the efficient functioning of these machines is vital for the smooth operation of industrial processes. Further, the detection and identification of motor issues in a timely manner is crucial to prevent unexpected downtime and expensive repairs. In this work, a novel approach is proposed to monitor and assess the condition of motors in real-time by analysing the environmental parameters using a sensor which is capable of measuring temperature and humidity, to gather data about the operating environment of motors in industrial settings. Also, by continuously monitoring these environmental factors, deviations from optimal conditions can be detected, allowing for proactive maintenance actions to be taken. The proposed system consists of a network of temperature and humidity sensors strategically placed in proximity to the motors being monitored. Further, these sensors collect temperature and humidity data at regular intervals and transmits it to an IoT Cloud platform. Finally, the data is analysed using fuzzy logic decision making algorithm and compared against pre-defined threshold values to determine if the motor is operating within acceptable conditions. This work appears to be of high industry relevance since an automated notifications or alerts shall be sent to maintenance personnel when abnormal conditions are detected.