
We are developing proprietary technology that provides unprecedented accuracy and insights supported by patents covering more than 100 crop types and 39 countries

Our Patents
Agerpoint’s patent portfolio represents our enduring commitment to transforming agriculture with cutting-edge technology. We’ve engineered innovative methods that capture, analyze, and manage precise crop data, empowering growers worldwide to optimize yields and preserve resources. Each patent not only reflects our passion for research and development, but also underscores our drive to deliver actionable insights at the plant level—improving decision-making from seed to harvest. Below, you’ll find a comprehensive list of our awarded patents and publications that continue to push the boundaries of innovation.
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1. Agricultural Modeling System with Data Fusion and Related Server Computing Resource and Methods (US 12,229,889)
The patent supports the 3D data fusion, visualization, and analysis capabilities of the Agerpoint Cloud platform. Learn More.
2. Systems And Methods For Monitoring Agricultural Products (US 9,939,417)
The present invention relates to systems and methods for monitoring agricultural products. In particular, the present invention relates to monitoring fruit production, plant growth, and plant vitality. Learn more.
3. Systems And Methods For Determining Crop Yields With LIDAR Sensors (US 9,983,311)
Systems, and methods for controlling a modular system for improved real-time yield monitoring and sensor fusion of crops in an orchard are disclosed. According to some embodiments of the invention, a modular system for improved real-time yield monitoring and sensor fusion may include a collection vehicle, a modular processing unit, a volume measurement module, a three-dimensional point-cloud scanning module, an inertial navigation system, and a post-processing server. As the collection vehicle travels through an orchard, the volume measurement module calculates volume measurements of the windrow, the three-dimensional point-cloud scanning module assembles point-clouds of each plant in the orchard, and the inertial navigation system calculates geodetic positions of the collection vehicle. The modular processing unit may fuse the collected data together and transmit the fused data set to a post-processing server. Learn more.
4. Systems And Methods For Determining Crop Yields With High Resolution Geo-Referenced Sensors (US 10,151,839)
Systems, and methods for controlling a modular system for improved real-time yield monitoring and sensor fusion of crops in an orchard are disclosed. According to some embodiments of the invention, a modular system for improved real-time yield monitoring and sensor fusion may include a collection vehicle, a modular processing unit, a volume measurement module, a three-dimensional point-cloud scanning module, an inertial navigation system, and a post-processing server. As the collection vehicle travels through an orchard, the volume measurement module calculates volume measurements of the windrow, the three-dimensional point-cloud scanning module assembles point-clouds of each plant in the orchard, and the inertial navigation system calculates geodetic positions of the collection vehicle. The modular processing unit may fuse the collected data together and transmit the fused data set to a post-processing server. Learn more.
5. Systems And Methods For Monitoring Agricultural Products (US 10,371,683)
The present invention relates to systems and methods for monitoring agricultural products. In particular, the present invention relates to monitoring fruit production, plant growth, and plant vitality. Learn more.
6. Systems And Methods For Monitoring Agricultural Products (US 10,520,482)
The present invention relates to systems and methods for monitoring agricultural products. In particular, the present invention relates to monitoring fruit production, plant growth, and plant vitality. According to embodiments of the invention, a plant analysis system is configured determine a spectral signature of a plant based on spectral data, and plant color based on photographic data. The spectral signatures and plant color are associated with assembled point cloud data. Morphological data of the plant can be generated based on the assembled point cloud data. A record of the plant can be created that associates the plant with the spectral signature, plant color, spectral data, assembled point cloud data, and morphological data, and stored in a library. Learn more.
7. Systems And Methods For Determining Crop Yields With High Resolution Geo-Referenced Sensors (US 10,534,086)
Systems, and methods for controlling a modular system for improved real-time yield monitoring and sensor fusion of crops in an orchard are disclosed. According to some embodiments of the invention, a modular system for improved real-time yield monitoring and sensor fusion may include a collection vehicle, a modular processing unit, a volume measurement module, a three-dimensional point-cloud scanning module, an inertial navigation system, and a post-processing server. As the collection vehicle travels through an orchard, the volume measurement module calculates volume measurements of the windrow, the three-dimensional point-cloud scanning module assembles point-clouds of each plant in the orchard, and the inertial navigation system calculates geodetic positions of the collection vehicle. The modular processing unit may fuse the collected data together and transmit the fused data set to a post-processing server. The post-processing server may process the geodetic position data for errors which may be used for geo-referencing the fused data. Learn more.
8. Systems And Methods For Monitoring Agricultural Products (US 10,539,545)
The present invention relates to systems and methods for monitoring agricultural products. In particular, the present invention relates to monitoring fruit production, plant growth, and plant vitality. Learn more.
9. Modular Systems and Methods for Determining Crop Yields with High Resolution Geo-Referenced Sensors (EU/Global 3157322) Systems, and methods for controlling a modular system for improved real-time yield monitoring and sensor fusion of crops in an orchard are disclosed. According to some embodiments of the invention, a modular system for improved real-time yield monitoring and sensor fusion may include a collection vehicle, a modular processing unit, a volume measurement module, a three-dimensional point-cloud scanning module, an inertial navigation system, and a post-processing server. As the collection vehicle travels through an orchard, the volume measurement module calculates volume measurements of the windrow, the three-dimensional point-cloud scanning module assembles point-clouds of each plant in the orchard, and the inertial navigation system calculates geodetic positions of the collection vehicle. The modular processing unit may fuse the collected data together and transmit the fused data set to a post-processing server. The post-processing server may process the geodetic position data for errors which may be used for geo-referencing the fused data.. Learn more.
10. Forestry management tool for assessing risk of catastrophic tree failure due to weather events (US 11,215,597)
Systems, apparatuses and methods for determining a risk of catastrophic failure for a tree based on a mechanistic model of physical characteristics of the tree are described. The systems, apparatuses and methods include a mobile sensing platform comprising one or more sensors for obtaining data, a transport vehicle configured to transport the mobile sensing platform, a positioning sensor configured to precisely calculate geographic coordinates of the positioning sensor and the location of the positioning sensor relative to a reference object as positioning data, and a processor configured to fuse the imaging data and the positioning data in order to determine conditions for catastrophic tree failure. Learn more.
11. Systems And Methods For Monitoring Agricultural Products (US 11,181,517)
This invention supports Agerpoint’s offerings for agricultural asset management, including: monitoring fruit production, tracking plant growth, monitoring plant health and productivity, measuring morphological attributes and performing field-based phenotyping. Learn more.
12. Remote Sensing Device with Duplex Optical Element and Related Methods (US Pending Issue)