Streamline Crop Insurance Claims With Drone-Based Data Collection And Analytics
Traditional crop insurance inspection methods can be slow, inaccurate, and costly. And though some agents have started to use drones to capture aerial imagery, few platforms offer more than images, stopping short of quantifiable measures.
Regardless of how inspection data is collected, aggregating it into a single, standardized database and extracting insights can be messy—if not impossible.
There’s no need to own a drone, maintain a pilot on staff, or analyze data. We’ve built our service based on years of operations research and work for Fortune 100 clients. As a result, you can procure enterprise-grade aerial intelligence—featuring easy-to-understand action items and takeaways—through a simple, turnkey service.
PrecisionHawk’s agriculture industry experts help you determine your measurement objectives, flight plan, and technology portfolio.
Adjusters, analysts, or other claims process stakeholders use a browser-based interface to view high-resolution imagery and damage severity visualizations to assess crop damage.
Users can view a report that’s easy to read, shareable, and easily imported into your existing data management system.
The report is used to calculate the payout, and shared with the customer to increase transparency, support the payout decision, and improve the customer experience.
Don’t just collect data—get insights. Our robust cloud-based system, PrecisionAnalytics Agriculture, runs on the newest artificial intelligence technology and is trained using terabytes of data from thousands of drone missions to flag potential issues the human eye cannot detect.
Crops at a glance: Review the overall health of plants and navigate image sets using intuitive map overlays, color-coded for damage severity.
Detailed views: View full-resolution imagery and zoom in on key issues.
Precision plant count: Quantify the number of plants or other countable assets with high accuracy.
Vegetative indices on demand: Select from GRVI, VARI, NDVI, NDRE, SAVI, GLI, and ENDVI based on the age of the crop and what kinds of damage you’re looking for. Use a simple slider to adjust the color scheme of an index to emphasize areas of stress.
Zonal and plot statistics: Shape your analysis to the unique characteristics of a field by defining custom zones or creating automatic and custom-defined plots. You can then calculate aggregate statistics on an area-by-area basis—from large zone to small plot—and export statistics for each one.
Comparison view: View multiple datasets at a time, which lets you potentially identify precursors to the claim at hand.
Optional downsampling: Low connectivity while on-site is common; upload lower resolution imagery to speed the process in areas with poor connectivity or slower connection speeds.
Enterprise portal: Manage all your sites in one portal.
Shareable web links: Easily share data with your customers to foster transparency and customer satisfaction. Customers can download and interact with the data, but cannot edit it.