CHALLENGES IN SMART FARMING
- Wireless broadband coverage in rural zones
- Lack of standards regarding IoT protocols
- Lack of standards for interoperability
- Lack of standards easing integration
- Debate on data ownership and data security
- Ability to bring new valuable insights from Big Data
- Usability of end applications
- Cost-effective solutions
- Limited availability of arable land
- Impact on productivity derived from climate change
- An urgent need to reduce waste and increase efficiency
- Impact on natural resources derived from intensive farming
- Increasing need for freshwater
- Price and availability of energy
- Uncertainty regarding weather events
- Assessment and monitoring of food quality
- Regulations, documentation
- Fluctuating prices
- Public awareness
- The average age of farmers increasing
EVOLUTION OF SMART FARMING
- No single company can provide the best solution for all challenges.
- Agile SMEs/startups are constantly emerging, bringing innovative vertical solutions based on the deployment of IoT combined with real-time Big Data, AI and dashboard tools on the cloud.
- There are the opportunity and the need to integrate these new solutions coming from multiple parties.
- Data from vertical solutions deployed in a Farm can be integrated to build a holistic picture of what is going on in the Farm: context data.
- Overall Farm Management Systems can be developed on top of a standard context information management layer.
SMART FARMING SOLUTIONS SHOULD BE
- Cost-effective: cheap implementation with a guaranteed return of investment.
- User-friendly: ease the management and provide knowledge and training.
- Interoperable: able to export relevant data that is required to fulfil other steps of the value chain.
FIWARE: A STANDARD WAY TO DEVELOP AND INTEGRATE SMART FARMING SOLUTIONS
REFERENCE ARCHITECTURE FOR IOT-ENABLED SMART FARMING SOLUTIONS “POWERED BY FIWARE”
A SYSTEM OF SYSTEMS VISION FOR THE GLOBAL MANAGEMENT OF A FARM
- No licenses on platform components.
- Enabling the contribution from multiple organizations.
- Enabling an open and competitive marketplace of compatible farm management systems and vertical smart farming solutions.
- Lower costs to achieve interoperability of vertical solutions or their integration with farm management systems.
- Lower costs for integration with multiple IoT protocols, farm machines, robots, drones, etc.
- Adding platform components parallel to business needs.
- Ability to add innovative features: blockchain-based traceability, open data publication, monetization of data and more.
- Quality Assurance testing on every component.
- Designed to get the most out of the cloud and scale on demand.
- Enabling to define and enforce compliance with data access control policies.
A REFERENCE ARCHITECTURE FOR SMART FARM MANAGEMENT SYSTEM POWERED BY FIWARE
- The Orion Context Broker integrates information from drones, sensors and other machines as well as vertical smart solutions and information systems, breaking information silos.
- IDAS IoT Agents connect to sensors, handling multiple IoT protocols (MQTT, CoAP/OMA-LWM2M, OneM2M,…). Alternative IoT platforms can be used for this purpose.
- ROS-2 robots are interfaced using Fast RTPS, adopted as default communication middleware in ROS-2.
- Historical data is processed using different processing engines (e.g., Hadoop, Spark or Flink) to extract valuable insights or derive smart actions. Complex Event Processing, Advanced AI or machine learning functions can be implemented on top of integrated processing engines.
- Operational dashboards are based on the Wirecloud web mashup framework.
- Knowage enables KPIs monitoring, Reporting and Business Intelligence functions.
- Part of the current and historical context data can be offered to third parties through and extended CKAN portal enabling publication of real-time data and the assignment of terms and conditions (including pricing) to data resources.
- Data/API access control functions warrant that context data is only accessible by parties owning the right privileges.
- API management and business support functions enable auditing of the system and monetization on data access.
If you are interested in getting more info about FIWARE in Agrifood please contact our Mission Support Committee.