– Global positioning system tag – communicates with GPS satellites to establish position with high accuracy, but only when the tag or animal is on land or at the water surface – Fastloc Global positioning system tag – GPS tag for aquatic animals that surface or haul out, when the tag locks onto the GPS satellite network to establish position with high accuracy – Pop-up satellite archival tag – after some period of time recording sensor data, the tag detaches itself from the animal and floats to the surface where it uses satellite connectivity to uplink the data stored on the tag – Acoustic tag – attached to the animals being tracked emit acoustic signals (typically ultrasound) which travel through water much better than RF signals. These signals are then received by buoys, which can then use satellite communications to backhaul the data to where it’s needed.
Camera types used on agrobots: – RGB cameras – extensively used in agricultural machine vision applications for fruit/plant detection, yield prediction, segmentation tasks, disease detection, ripeness detection, weed detection and insects detection – Hyperspectral, thermal, or ultrasonic cameras – typically provide better results than conventional RGB color images – Stereoscopic cameras – provides 3D plant structure information (dimension of crops (depth information, crop height, leaf shape, leaf area etc.)) Critical factor is the camera’s resolution, which should be high enough to capture the details of the scene especially in the cases of insect and disease detection.
Conductivity, Temperature, and Depth (CTD) Sensors: These are widely used in oceanography. CTD sensors measure conductivity (to infer salinity), temperature, and depth simultaneously, providing comprehensive data essential for climate change studies.
Digital Temperature Sensors: Placed in various parts of a rainforest, these sensors can provide detailed temperature data, helping to detect and analyze sudden temperature variations.
GPS for autonomous navigation in open-field cultivation environments Robotic data collection platform equipped with RADAR, liDAR, ultrasonic radar sensors, spectrometers, fluorometers
Infrared Thermal Imaging: Used to map urban heat islands from a distance, often from airborne platforms or satellites. Networks of Digital Temperature Sensors: Deployed across different urban areas, these sensors can provide granular temperature data, highlighting variations within a city. Weather Stations: Often used in urban settings, weather stations can provide comprehensive environmental data, including temperature, which is crucial for studying urban heat island effects.
Rain Gauges: Modern rain gauges often come equipped with wireless communication capabilities, allowing them to transmit data on rainfall amounts to monitoring centers in real time. Stream Gauges: Many stream gauges are designed to wirelessly transmit data on water levels and flow rates, providing crucial information for flood forecasting.Soil Moisture Sensors: These sensors can be equipped with wireless communication to send soil moisture data to a central system, which helps in assessing the risk of flooding, especially in areas prone to flash floods. Pressure Transducers: Used in various water bodies, these sensors can wirelessly transmit water pressure data, which is then used to calculate water levels. Ultrasonic Sensors: These can be set up to measure water levels and then transmit the data wirelessly to a central monitoring system. Anemometers: Modern anemometers can send wind data wirelessly to meteorological centers, contributing to broader weather pattern analysis for flood prediction. Tide Gauges: In coastal areas, tide gauges equipped with wireless communication capabilities transmit sea level data, which is crucial for predicting storm surges and coastal floods.
Smart meters that collect granular real-time data across the water grid, LED light sensors to monitor water levels in tanks, pH sensors, temperature sensors and turbidity sensors in pipelines and storage and distribution tanks, volume sensor
Wind Sensors (Anemometers): measure wind speed and direction, key factors in sandstorm formation. By understanding wind patterns, it becomes easier to predict the movement and intensity of sandstorms.
