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Thursday / November 7. 2024
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The Ceres Imaging technology will populate high-resolution images in Lindsay’s FieldNET® platform, which enhances growers’ ability to remotely monitor, control

Lindsay Corporation, a leading global manufacturer and distributor of irrigation and infrastructure equipment and technology, today announced a strategic partnership with Ceres Imaging, an Oakland, Cali, provider of high-resolution imagery analytics with support for precision agriculture.

The Ceres Imaging technology will populate high-resolution images in Lindsay’s industry leading FieldNET® platform, which enhances growers’ ability to remotely monitor, control, analyse and apply irrigation recommendations. The addition of Ceres’ imagery and access to its analytics platform will allow growers to monitor and adjust operations based on key indicators of crop performance such as emergence, canopy density, soil composition, water stress and nitrogen content. These indicators will provide valuable insights into crop health in alignment with Lindsay’s smart pivot innovation roadmap and enhance the ability of growers to choose solutions uniquely tailored to their needs.

The data connection between the FieldNET and Ceres Imaging platforms will be two-way, with Ceres imagery provided and shown in the FieldNET platform. In-depth analytics and recommendations, powered by FieldNET data, will also be accessible within the Ceres Imaging platform. Sharing encrypted data with permission of the grower allows the two platforms to work more efficiently and provide custom recommendations for optimal yield while supporting growers’ sustainable farming practices.

“Lindsay is committed to providing the latest technology to growers to help scale their organisation and maximise yields,” said Gustavo Oberto, President of Global Irrigation at Lindsay. “The Ceres Imaging offering is a natural addition to the toolkit we provide growers. We are excited about the work Ceres Imaging is doing with high-resolution thermal imaging and analytics today, especially as it pertains to precision irrigation, and the value this partnership will continue to create for our mutual customers. We know that no two fields, no two operations, no two crops are the same, so we are excited to provide our customers this choice among a suite of imaging options compatible with current and future irrigation innovations”

Ashwin Madgavkar, founder of Ceres Imaging, agreed. “Our passion for agriculture and helping growers maximise their potential is at the root of what we do at Ceres. We see that same passion and drive to create innovative solutions and analytics in Lindsay’s product lineup. We’re excited to partner with them and look forward to continued innovation.”

The Ceres Imaging technology will populate high-resolution

Sentera, a Minnesota, USA-based ag analytics platform powered by machine learning, has announced the launch of its Direct Georeferencing (DGR) System, which quickly connects to an ag drone to add high-precision location certainty to high-resolution aerial imagery.

“Drones have transformed data collection processes for agriculture,” said Ryan Nelson, chief mechanical engineer, Sentera. “With the DGR, we’re taking it one step further by eliminating inefficiencies so our customers can deliver insights faster.”

The Sentera DGR System features a tactical-grade inertial measurement unit (IMU) and RTK GPS that tightly integrates with a sensor, like Sentera’s 6X Multispectral or 6X Thermal. DGR-enabled products quickly connect with compatible drones, including the DJI Matrice 300 and several MAVLINK-based platforms.

The DGR System adds high-precision geolocation information in real time, which means fewer images are required to cover the same area. As a result, users can eliminate the need for the orthomosaic stitching process. In real-world use, drone flight times decrease by up to 60 per cent, and the time to move from collection to analysis can be reduced by up to 8x.

“Many times, image stitching is just a necessary evil to assemble the data that produces a crop insight,” said Nelson. “With the DGR System, this process is eliminated – completely transforming how fast we can deliver data.”

Because image stitching is no longer required to precisely geolocate data, many analysis workflows can be accomplished right at the field edge. Where cloud-based processing is preferred, the DGR System’s dramatic reduction in data volume accelerates production rates versus current techniques.

“Efficiency in the field allows our customers to spend their time where it matters most – analysing key crop health and performance measurements to validate outcomes and performance,” said Nelson.

Sentera, a Minnesota, USA-based ag analytics platform