Lindsay will utilise Microsoft Azure IoT Edge and Azure Machine Learning for edge-of-field computing, artificial intelligence and machine learning solutions.
Lindsay Corporation announced the development of intelligent digital solutions using Microsoft Azure. The company aims to enhance irrigation management and broaden the detection and reporting of irrigation system issues. This is to help growers evaluate and continuously improve the sustainability and profitability of their operations.
Lindsay will utilise Microsoft Azure IoT Edge and Azure Machine Learning for edge-of-field computing, artificial intelligence and machine learning solutions. Collaboration is to result in complete end-to-end monitoring and control capabilities, and predictive IoT features that will enhance irrigation management for growers around the world. This, says Lindsay, will help growers better conserve resources while improving profitability.
The companies have already collaborated to integrate FieldNET, Lindsay’s irrigation management platform, into Azure. According to Lindsay, the resulting solution has effectively increased the scalability of FieldNET as a global, cloud-based platform. The company says this enables them 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.
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“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.”
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.