Lindsay to develop sustainable and profitable solutions for growers using Microsoft Azure

Date:11-02-2020

Lindsay Corporation (NYSE: LNN), a leading global manufacturer and distributor of irrigation and infrastructure equipment and technology, recently announced the development of intelligent digital solutions using Microsoft Azure to enhance irrigation management, broaden the detection and reporting of irrigation system issues, and help growers evaluate and continuously improve the sustainability and profitability of their operations.

Lindsay will utilize Microsoft Azure IoT Edge and Azure Machine Learning for edge-of-field computing, artificial intelligence and machine learning solutions. Collaboration will result in complete end-to-end monitoring and control capabilities, and predictive IoT features that will enhance irrigation management for growers around the world, helping them better conserve resources while improving profitability.

The companies have already collaborated to integrate FieldNET™, Lindsay's award-winning irrigation management platform, into Azure. The resulting solution has effectively increased the scalability of FieldNET as a global, cloud-based platform that enables Lindsay to deliver global technology products that are expected to save over 700 billion gallons of water and more than one billion kilowatt hours of energy by 2022.

"We are excited to begin leveraging Microsoft Azure IoT capabilities to further enhance our customers' ability to be productive and profitable while also conserving valuable natural resources around the world," said Kurtis Charling, Director of Software Development at Lindsay. "This deeper collaboration strengthens Lindsay's ability to deliver innovative solutions through our field-proven irrigation and technology brands, Zimmatic™ and FieldNET"

"Microsoft is committed to driving digital transformations for people, organizations and industries around the world, and we're pleased to be collaborating with Lindsay in a way that further supports their sustainability goals around water, energy and carbon emissions," said Tony Shakib, Partner General Manager, Azure IoT at Microsoft. "Lindsay will apply our machine learning and edge-of-field computing capabilities to help growers and the rising global population benefit from these advancements."

Development work is beginning now, and Lindsay will announce a comprehensive strategic direction on November 12 through a virtual, live event that will be open to the public.