The SWAMP project published a paper in the 2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor 2020) reporting an experience with various IoT technologies for the measurement of smart agriculture.
Enabling Context Aware Tuning of Low Power Sensors for Smart Agriculture describes an application for the context aware tuning of the data rate of a battery powered LoRaWAN multi-sensor node designed within SWAMP.The node is equipped with sensors measuring soil features like water content, temperature, conductivity, moisture and water table depth.
The TuningSoil application aims at saving as much power as possible, granting at the same time the detection and accurate profiling of events localized in time and space (e.g., due to sudden heavy rain). The tuning rules are based on the interplay between the context heterogeneous actors (sensor data, weather data, current season, irrigation plan) mediated by a the SEPA component of the SWAMP platform, interconnected to multiple private and public networks.
