This talk will explores the potential applications of Robotics, Internet of Things (IoT), and Artificial Intelligence (AI) technologies in the context of precision biodiversity. Precision biodiversity is an emerging field that aims to optimize biodiversity conservation and management through data-driven, evidence-based decision-making. Robotic technologies have the potential to play a significant role in precision biodiversity by enabling the collection of high-quality data on species and ecosystems. For example, autonomous drones equipped with advanced sensors can be used to survey large areas of land, collect data on species diversity, and monitor changes in ecosystems over time. Similarly, legged robots can be used to collect data on ground surroundings such as the diameters of trees using LIDAR sensors. IoT technologies can also play a critical role in precision biodiversity by providing real-time data on environmental conditions and species behaviour. For example, sensors can be used to monitor temperature, humidity, and other environmental factors that affect biodiversity, while camera trap with IoT connectivity can be used to monitor the movement patterns of animals and identify areas of high conservation value. AI technologies, such as machine learning algorithms and computer vision, can be used to analyse and interpret the vast amounts of data collected through robotic and IoT technologies. For example, AI can be used to identify patterns in flora and fauna and assist researches in classifying them. Overall, the integration of Robotics, IoT, and AI technologies has the potential to transform the field of precision biodiversity by enabling the collection of high-quality data, providing real-time monitoring of ecosystems, and supporting evidence-based decision-making in conservation management.
