Mesh-like configuration system with nodes that can control sensors and act as actuators for external systems like valves
(i) Transmission protocol: NRF24L01 (between sink node and the rest of nodes) and Wi-Fi (between sink node and server) (ii) Sensor node devices: ATmega microcontroller (iii) Raspberry sink node (iv) Server for data storage and web application
IoT deployment for monitorization and control of a tomato greenhouse using a wireless sensor network, cloud computing, and artificial intelligence
(i) Transmission protocol: Zigbee (ii) Sensor node devices: ATmega microcontrollers (iii) Libelium gateway (iv) Web server for data storage, retrieval and visualization growth modeling, and optimal planning Monitoring and visualization
(i) EC (electric conductivity) (ii) Flow solution (iii) Temperature (iv) PAR (photosynthetically active radiation) (v) Humidity (vi) CO2 (vii) Heating and ventilation system (viii) High pressure sodium bulbs
Approach using IoT-fog-cloud architecture using machine learning to detect outliers and another
(i) Omicron system Intel system Libelium system
(i) Temperature (ii) Relative humidity (iii) Light intensity (iv) Soil moisture
Our proposal
Deployment of mesh-like nodes using IoT devices to read sensors, control external system, and a LabVIEW interface to configure and monitor the nodes
(i) Transmission protocol: custom protocol using Zigbee (ii) Sensor node devices: ATmega microcontrollers (iii) Web server for data storage and LabVIEW for control and visualization
(i) Ambient temperature and humidity (ii) Soil moisture (iii) CO2 (iv) Water level (v) Illumination system (vi) Refrigeration system (vii) Ventilation system
