The Open Garden platform consist of three different kits, each ready for a specific kind of growing plant scenario: indoor houses and greenhouses, outdoor gardens and fields and hydroponics plants in water installations.
The platform allows to control the state of the plants by sensing several parameters:
Soil moisture (Indoor & Outdoor kits)
Temperature + Humidity + Light (All kits)
Water sensors: pH, Conductivity, Temperature (Hydroponics kit
Then it uses different types of actuators to modify the state of the plants by irrigating them or activating lights and oxygen pumps:
Water pump + Droppers for Drip Irrigation (Indoor kit)
Electro valve + Sprinkler for Sprinkling (Outdoor kit)
Oxygen Pump + Growing Light (Hydroponics kit)
The nodes send periodically the information to the Gateway that uploads the data to a web server by using any of the available wireless interfaces WiFi, GPRS, 3G. We have also designed a web application that allows to store in a data base the information gathered and visualize it from a browser and iPhone / Android device. We have released it as open source code so that you can improve it and make it personal for your own product!!
Open Garden has been designed to work with both 220V Europe & 110V US.
via Open Garden – Hydroponics & Garden Plants Monitoring for Arduino.
Libelium launched a Smart Water wireless sensor platform to simplify remote water quality monitoring. Equipped with multiple sensors that measure a dozen of the most relevant water quality parameters, Waspmote Smart Water is the first water quality-sensing platform to feature autonomous nodes that connect to the Cloud for real-time water control. Waspmote Smart Water is suitable for potable water monitoring, chemical leakage detection in rivers, remote measurement of swimming pools and spas, and levels of seawater pollution. The water quality parameters measured include pH, dissolved oxygen (DO), oxidation-reduction potential (ORP), conductivity (salinity), temperature and dissolved ions (Na+, Ca+, F-, Cl, Br-, I-, Cu2+, K+, Mg2+, NO3-).
The Waspmote Smart Water platform is an ultra low-power sensor node designed for use in rugged environments and deployment in Smart Cities in hard-to-access locations to detect changes and potential risk to public health in real time.
via Smart Water Sensors to monitor water quality in rivers, lakes and the sea | Libelium.
Libelium today added new integration options from leading Cloud technology providers in the latest stage of the build-out of its Waspmote wireless sensor platform ecosystem, to reduce time to market for Internet of Things solutions.
Demos showcasing Waspmote and Plug & Sense! nodes integrated with software platforms from Axeda, Esri, ThingWorx as well as the MQTT protocol will be rolled out at Dreamforce 2013 in San Francisco at Smart City Expo World Congress in Barcelona, Spain and at the Internet of Things & WSN Conference in Santa Clara, California. The new Cloud connector framework is based on a new managing system for Libelium’sMeshlium wireless sensor gateway, allowing easy configuration of any of these platforms. Existing Meshlium users are eligible for the upgrade.
Libelium has simplified the integration of leading Cloud software platforms to its Waspmote wireless sensor network platform, decreasing time to market for new IoT solutions. “Waspmote is a universal hardware platform for the Internet of Things because it is open and modular, and can integrate any sensor, using any communication protocol, and send retrieved data to any Cloud system for analysis or storage,” said David Gascón, CTO at Libelium. “Now we’re offering access to the best Cloud software platforms by streamlining the integration process, to connect the physical world to the virtual world and transform sensor data into information resources.” Waspmote Cloud Connector Software Ecosystem Additions – available separately.
More info here.
With the successful space launch of ArduSat aboard a H-IIB rocket, the first open satellite platform that allows private citizens to design and run their own applications in space is now on its way to the International Space Station (ISS). Included in the standard payload of the two 10cm x 10cm orbiters launched this week are Radiation Sensor Boards designed by Libelium that will monitor radiation levels generated by space phenomena such as sun storms and background activity.
Read more here.
The new Video Camera Sensor board in conjunction with the 3G module for Waspmote allows to take photos and record videos and send them to the Cloud by using high speed 3G, WCDMA and HSPA cellular networks in the same way as Smartphones do. This makes possible sensor nodes send not only discrete sensor information such as temperature or humidity (which can be encoded using just a single number) but also complex streams of information such as photos and videos. This new feature allows developers the creation of new Security, Surveillance and Military applications.
Read more here.
Libelium today announced the availability of a new Smart Lighting solution for Smart Cities deployments based on the modular Waspmote Plug & Sense! wireless sensor network platform. Measuring ambient light (luminosity) with a new set of directionable sensor probes, Libelium’s Smart Lighting device also includes temperature and humidity sensors and is capable of monitoring conditions inside buildings or in tunnels, and outside, in the streets.
The new e-Health Biometric Sensor Platform developed by Cooking Hacks (the open hardware division of Libelium) allows Arduino and Raspberry Pi users to perform biometric and medical applications where body monitoring is needed by using 9 different sensors: pulse, oxygen in blood (SPO2), airflow (breathing), body temperature, electrocardiogram (ECG), glucometer, galvanic skin response (GSR – sweating), blood pressure (sphygmomanometer) and patient position (accelerometer). This information can be used to monitor in real time the state of a patient or to get sensitive data in order to be subsequently analysed for medical diagnosis. Biometric information gathered can be wirelessly sent using any of the 6 connectivity options available: Wi-Fi, 3G, GPRS, Bluetooth, 802.15.4 and ZigBee depending on the application.
If real time image diagnosis is needed a camera can be attached to the 3G module in order to send photos and videos of the patient to a medical diagnosis center. Data can be sent to the Cloud in order to perform permanent storage or visualized in real time by sending the data directly to a laptop or Smartphone. iPhone and Android applications have been designed in order to easily see the patient’s information. Read more.