Implementation of IoT and data analytics in agriculture is happening all across the world.
With Earth’s population expected to skyrocket to nine billion by 2050, new ways to increase agriculture productivity are required, if we are to feed another 1.3 billion people.
One farm in Yaroslavl, Russia is attempting to make the necessary productivity gains, by utilizing the Internet of Things (IoT) and machine learning. With the help of the Spanish platform provider Libelium, they have improved milk yields by 18 percent, less than a year into implementation.
SEE ALSO: From AI World: Manufacturers Get Ready to Add AI to Their IoT
Libelium deployed its Plug&Sense! Smart Agriculture platform, which tracks temperature, humidity, and pressure on the farm. This data is then analyzed by ALAN-IT’s analytical service Smart4Agro, based on Microsoft’s Azure Power BI SQL, to inform the farmers how much feed a cow will need.
The
farmers receive SMS notifications on sudden weather warnings and insights into
the best course of action to improve yield. Alongside yield improvement, the service
can also inform farmers of herd reproduction rates and possible animal
diseases.
According to Libelium, the smart farm, which trialed the system on 2000 dairy cows, has saved €340,000 in 180 days. Mustang, a Russian feed supplier which spearheaded the smart farm development, sees the platform as a way of improving efficiency and increasing profits.
Implementation of IoT and data analytics in agriculture is happening all across the world. According to a market research report by MarketsandMarkets, the agriculture IoT market is expected to surpass $20 billion in value by 2024.
David is a technology writer with several years experience covering all aspects of IoT, from technology to networks to security.
Best Practices for Deploying and Scaling Industrial AIArtificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.Link to The Center for Adaptive Edge Intelligence
The Center for Adaptive Edge IntelligenceAdaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.Link to The Value of Vehicle Electrification
The Value of Vehicle ElectrificationElectric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT
Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoTDigital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.Link to Smart Manufacturing for Automotive
Smart Manufacturing for AutomotiveLeading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.Link to Center for Data Pipeline Automation
Center for Data Pipeline AutomationAs businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.Link to Center for Automated Integration
Center for Automated IntegrationThe goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.Link to Continuous Intelligence: Insights
Continuous Intelligence: InsightsDigital transformation requires continuous intelligence (CI). Today's digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
