SlantRange Inc., a provider of remote sensing and analytics systems for agriculture, has announced a new partnership with Microsoft.
The partnership will combine Microsoft’s latest Internet of Things (IoT) connectivity and cloud analytics with SlantRange’s edge-computing capabilities. The result is an integrated product offering for enterprise customers operating large-scale drone programs in agriculture.
“Agricultural innovation is critical to feeding the world’s growing population while reducing the environmental impact of farming. Technology powering this innovation is becoming increasingly important to Microsoft and our customers across retail, grocery, and food industries around the globe,” comments Dinesh Narayanan, director of device incubation at Microsoft. “We’re proud to be partnering with SlantRange on the integration of Azure IoT Edge with their leading sensor and analytics solution, allowing them to provide valuable data and insights at the scale required by the biggest agri-businesses in the world.”
SlantRange says it has patented foundational technologies for aerial crop inspections and introduced analytical methods that deliver agronomic data within minutes of collection, anywhere in the world, by using low-power edge-computing devices. Microsoft’s Azure IoT Edge is a fully managed service that delivers cloud intelligence locally by deploying and running artificial intelligence, Azure services, and custom logic directly on cross-platform IoT devices.
SlantRange’s data analytics can be conducted completely offline, without the need for an internet connection. Through the addition of Azure IoT Edge, the new platform will provide a secure, scalable and fully integrated solution to deploy new cloud computing capabilities on top of SlantRange’s existing edge-computing architecture.
“Azure IoT Edge is a perfect fit for our next generation of sensor and analytics solutions,” says Michael Ritter, CEO of SlantRange. “This new integration will allow large drone programs to operate at global scales with versatile new tools for data security, highly distributed learning models and device management. Ultimately, our combined technology will enable the latest advances in remote sensing and data science to be easily deployed anywhere in the world, including the most remote farming areas, while retaining all of the controls, features and security expected of enterprise IT systems – and that will have a profound and positive effect on farm productivity around the world.”