Hortau selects mnubo to bring predictive intelligence to precision irrigation management

Hortau Selects mnubo to Bring Predictive Intelligence to Precision Irrigation Management
Partnership drives vision for increased sustainability, productivity and efficiency for agriculture producers

MONTREAL–(BUSINESS WIRE)–Hortau, the leader in precision irrigation management systems, today announced its partnership with mnubo, the Internet of Things (IoT) Data Analytics company, to advance its solution offering of delivering higher crop yields with real-time analysis of optimal moisture and soil tension conditions. Hortau enables growers worldwide to maximize yields while optimizing their water resources. mnubo’s expertise in predictive IoT data science and real-time analysis of farm sensor data, enriched with external conditions, will enable Hortau to provide actionable intelligence to growers and other stakeholders.

Since 2002, Hortau has installed sensors on farms in the U.S. and Canada, recording hundreds of thousands of data points per hour. Hortau’s mission is to tap into the value of this farm data to increase sustainability, productivity and deliver optimum efficiency to producers. mnubo provides a real-time, built-for-IoT Data Analytics platform that enables application providers, like Hortau, to extract business value from sensor and events data. With this partnership, Hortau and its producers will tap into the latent potential in their sensor, water, soil and weather data using mnubo’s SmartObjects platform, and deliver a world-class precision irrigation solution.

“Our partnership with mnubo will bring to market an innovative, data-driven solution for the producers,” said Jocelyn Boudreau, CEO of Hortau. “Their ready-to-use SmartObjects platform and expertise in data science will save us years of development work and will help us accelerate our time-to-insight and deliver relevant, real-time value to our rapidly growing customer base,” Boudreau added.

“Smart agriculture epitomizes the huge global impact possible with IoT analytics solutions. It is also a market that will increasingly expand its use of sensors and external data sources to improve resource utilization and crop yields,” said Dan Shey, VP of B2B Services at ABI Research and a renowned global IoT analyst. “As a result, application providers need to choose analytics platforms such as those from mnubo that not only scale to increasing data volumes and variety, but also provide real-time insights using a suite of diagnostic and predictive analytics tools,” Shey added. “We expect more partnerships such as Hortau and mnubo that combine vertical know-how with analytics excellence.”

“Hortau’s market leadership and patented technology strongly positions them to deliver additional value to the growers based on the strategic insights from their irrigation data,” stated Frederic Bastien, CEO of mnubo. “Data science and machine learning on farm data, are key to the optimization of global water reserves and maximizing crop yields,” Bastien said. “This collaboration brings together Hortau’s rich industry experience and mnubo’s unique ability to create business value from sensor data making the agriculture industry smarter.”

mnubo’s SmartObjects, powered by AWS IoT, is designed to manage connected objects and analyze various aspects of IoT data from an ingestion, modeling and storage perspective. SmartObjects focuses on delivering business outcomes (ROI) that answer key business questions (KPIs) for IoT product manufacturers and IoT service providers. It helps Hortau extract valuable insights from their connected product data by providing automated reports and dashboards that help them understand product usage, performance, failures, operating conditions and other critical KPIs.

With mnubo running on AWS IoT, Hortau has access to a managed cloud platform that lets them easily and securely interact with cloud applications and other devices. AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to mnubo’s SmartObjects for advanced analytics.

July 17, 2015
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