Sentera Launches Crop Damage Analytics Platform
by DRONELIFE Staff Author Ian J. McNabb
Sentera, a Minnesota corporation specializing in agricultural analytics, recently announced the launch of its Crop Damage analytics platform to assist in critical decision-making around mitigation strategies for unexpected weather events. Amidst increasingly unpredictable and extreme weather patterns attributable to global warming, technology to assist farmers and other customers protect their crops is increasingly important- the American Farm Bureau Federation reported that 2022 was the third-costliest disaster yr event in history, with greater than $21.4 billion in crop and rangeland losses.
Technology may help. As Eric Taipale, chief technology officer of Sentera, stated in a press release: “We will’t regulate the weather or many other events that may damage crops, but we are able to control how quickly we are able to reply to losses. Crop Damage analytics offers customers fast, precise, and accurate insight into the situation and extent of harm. Customers can use this information to tell mitigation and update management strategies to optimize profitability or an agronomic final result.” Sentera’s data tools turn aerial imagery into actionable, plant-level information, leading to improved decision-making ability and allowing for the optimization of “boots on the bottom” resources.
This versatile approach is built on UAV technology, showing its increasing influence across the agricultural sphere. Sentera’s flexible sensor packages, installed on drones just like the DJI Mavic 3, utilize additional cameras alongside the drone’s important cameras, which will be used together with Sentera’s data models to find out measurements like cover cover, crop area, crop health, elevation & hydrology, flowering, height & lodging, residue cover, and stand count. The brand new Crop Damage analytics platform can use this data to assist inform resource allocation, replanting, and crop management. As well as, Sentera’s Crop Damage solutions can even streamline the crop insurance process, aiding in efficient and accurate claim processing. While extreme weather events remain an operating risk for agricultural clients, higher data models can undoubtedly provide farmers with the data they should react.
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