Environmental Sensor

Environmental sensors are devices that monitor various aspects of the environment, aiming to collect data for diverse applications ranging from precision agriculture to healthcare. Current research emphasizes developing robust and efficient sensor networks, often incorporating machine learning techniques like convolutional neural networks (CNNs) and long short-term memory (LSTM) networks for anomaly detection and data analysis, as well as federated learning for privacy-preserving data aggregation. This field is crucial for advancing autonomous systems, optimizing resource management (e.g., water conservation), and improving the accuracy and reliability of environmental monitoring in various settings.