SMART SENSORS AND IOT IN STUDYING ANIMAL MORPHOLOGY AND DEVELOPMENTAL BIOLOGY

Abstract

The exploration of animal morphology and developmental biology is significantly advanced by the integration of Internet of Things (IoT) and smart sensor technologies. This study employs advanced sensor arrays and IoT frameworks to collect, transmit, and analyze biological data in real-time, enabling detailed observation of developmental processes in various species under natural and controlled environments. The methodology focuses on deploying multi-modal sensors to track physiological and environmental variables, which are then analyzed using robust data analytical techniques. Key findings reveal enhanced accuracy in morphological measurements and insights into the developmental stages that were previously unattainable with conventional methods. The implications of this research extend beyond biological insights, suggesting improvements in sensor technology and data integration that could benefit broader ecological and environmental research. This study underscores the transformative potential of IoT and smart sensors in biological sciences, providing a foundation for future research in this dynamic field.