Bayer had one patents in cloud during Q1 2024.Bayer AG has developed systems and methods for identifying clouds and cloud shadows in satellite imagery using machine learning. The system receives images of agronomic fields and corresponding data identifying cloud and cloud shadow locations, then trains a machine learning system to identify cloud locations. This technology can accurately identify cloud locations in satellite images of agronomic fields. GlobalData’s report on Bayer gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Bayer had no grants in cloud as a theme in Q1 2024.
Recent Patents
Application: Machine learning techniques for identifying clouds and cloud shadows in satellite imagery (Patent ID: US20240013352A1)
The patent filed by Bayer AG describes systems and methods for identifying clouds and cloud shadows in satellite imagery. The system receives images of agronomic fields and corresponding data identifying cloud and cloud shadow locations. A machine learning system is trained to identify cloud locations using the images as inputs and data identifying pixels as cloud or non-cloud pixels as outputs. When particular images of a specific agronomic field are received, the system uses these images as inputs into the machine learning system to identify pixels as cloud locations.
The system claimed in the patent includes processors and memory storing instructions for receiving images of agronomic fields, data identifying cloud and cloud shadow locations, training a machine learning system, and using particular images to identify cloud locations. The system's functionality involves processing images produced using frequency bands to accurately identify clouds and cloud shadows in agronomic fields. By utilizing machine learning techniques, the system can effectively distinguish between cloud and non-cloud pixels in satellite imagery, providing valuable insights for various applications in agriculture and environmental monitoring.
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