Systems and methods for determining crop yields with high resolution geo-referenced sensors
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.
1. A yield monitoring and sensor fusion system comprising:
a collection vehicle configured to transport a modular processing unit comprising:
a scanning device configured to: assemble a three-dimensional point cloud representation of one or more plants utilizing waveform Light Detection and Ranging (“LiDAR”), and associate the three-dimensional point cloud representation of the one or more plants with a time-stamp;
a volume processing device that is configured to: generate a plurality of volume measurements by calculating a plurality of volume cross-sections utilizing LiDAR, and associate the plurality of volume measurements with a time-stamp, and
an inertial navigation system that is configured to: calculate one or more geodetic positions of the collection vehicle using an Inertial Measurement Unit (“IMU”) and a Global Positioning System (“GPS”), and associate the one or more geodetic positions with a time-stamp,
wherein the modular processing unit is configured to: fuse the plurality of volume measurements, the one or more geodetic positions, and the three-dimensional point cloud representation of the one or more plants together using their associated time-stamps, and transmit the fused data;
a variable rate dispenser mounted to the collection vehicle and coupled to the modular processing unit, wherein the variable rate dispenser is configured to dispense a fluid at rate that dynamically varies based on a variable rate map and a position of the collection vehicle; and
a server configured to:
receive transmissions from the modular processing unit;
associate a plant with one or more of the plurality of volume measurements based on the three-dimensional point cloud representation and a set of corrected geodetic positioning data,
determine a volume of crop produced by the plant based on the plurality of volume measurements,
determine whether the plant needs treatment by comparing the volume of crop produced by the plant with a predetermined yield estimate, and
upon determining that the plant needs treatment, instruct the variable rate dispenser to apply a higher dosage of fluid to the plant using the three-dimensional point cloud representation of the plant, and the set of corrected geodetic positioning data.
2. The system of claim 1 , further comprising a weight device that generates a plurality of weight measurements of a windrow, and associate the plurality of weight measurements with a time stamp.
3. The system of claim 1 , wherein the set of corrected geodetic positioning data is calculated based on a Smooth Best Estimation of Trajectory (“SBET”).
4. The system of claim 1 , wherein the GPS of the inertial navigation system corrects GPS calculations of the inertial navigation system in real-time.
5. The system of claim 1 , wherein the scanning device converts the three-dimensional point cloud representation of the one or more plants from a Scanner Own Coordinate System (“SOCS”) to a reference frame of the inertial navigation system.
6. The system of claim 1 , wherein the fusion of the plurality of volume measurements, the one or more geodetic positions, and the three-dimensional point cloud representation of the one or more plants creates a geo-referenced fused data set having a level of resolution less than 1 meter.
7. The system of claim 1 , further comprising a user interface for operating the modular processing unit, wherein the user interface is coupled to the modular processing unit and comprises a plurality of inputs configured to control the modular processing unit.
8. The system of claim 2 , wherein the server is further configured to:
associate a plant with one or more of the plurality of windrow weight measurements based on the three-dimensional point cloud representation and the set of corrected geodetic positioning data; and
determine a volume of crop produced by the plant based on the plurality of windrow weight measurements.
9. The system of claim 8 , wherein the server is further configured to:
compare the volume of crop produced by the plant with a predetermined plant yield estimate;
create a correlation between the predetermined plant yield estimate and the volume of crop produced by the plant; and
create a set of weights based on the correlation.
10. The system of claim 1 , wherein the server is further configured to generate a variable rate fertilizer map based on the determined volume of crop produced by the plant, wherein the variable rate fertilizer map instructs how the variable rate dispenser applies fluid to one or more plants based on whether the one or more plants need treatment.