FluroSat Releases PIVOThermo

FluroSat has announced the release of PIVOThermo alert, the first tool in a suite of automatic analytics the company has been building with industry partners across both hemispheres. PIVOThermo is an innovative tool that integrates thermal imagery and machine learning to automatically detect clogged and leaking nozzles in center pivots.


FluroSat CEO, Dr. Anastasia Volkova explained that PIVOThermo was co-developed by FluroSat, CropQuest, and TerrAvion. “We don’t build analytics for the sake of it. On every new product, we work with the specific needs of our customers, on one hand, and real-world data from partners like TerrAvion on the other hand. Our customers shape the product to fit their workflows, taking agronomic analytics to the last mile of ‘automation’ and turning it into real decision aid for every busy agronomist thriving to manage hundreds of fields to their full potential.”

“We are excited that PIVOThermo has been developed by FluroSat and Cropquest, based on TerrAvion data,” adds Robert Morris, CEO and Founder of TerrAvion, “TerrAvion has an open API and partners with companies such as FluroSat who build their product on our imagery data. The frequent, high-resolution data provided by TerrAvion powers digital agronomy programs leading to improved outcomes for the whole agricultural industry.

PIVOThermo automatically analyzes the thermal signature of the pivot on a weekly basis and finds failing nozzles. “What makes this tool impactful is the speed this information reaches the agronomist,” says FluroSat Global Head of Business Development Dr. Manal Elarab. “Once the imagery is captured, PIVOThermo will run the analysis and identify nozzles that are non-uniformly distributing the water across the pivot, even at the earliest stages of nozzle malfunctioning. The generated report provides the exact location of the nozzle to be examined, such that a field technician can perform the inspection as instructed. All this is done hands-free, no need to login somewhere, look at imagery, or learn a new tool.”


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