18071139. SYSTEM AND METHOD FOR DETERMINING SURFACE FINISH WITHIN AN AGRICULTURAL FIELD simplified abstract (CNH Industrial America LLC)
Contents
- 1 SYSTEM AND METHOD FOR DETERMINING SURFACE FINISH WITHIN AN AGRICULTURAL FIELD
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR DETERMINING SURFACE FINISH WITHIN AN AGRICULTURAL FIELD - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SYSTEM AND METHOD FOR DETERMINING SURFACE FINISH WITHIN AN AGRICULTURAL FIELD
Organization Name
Inventor(s)
Brittany Schroeder of Bunker Hill IN (US)
Joshua D. Knoblauch of Lowpoint IL (US)
SYSTEM AND METHOD FOR DETERMINING SURFACE FINISH WITHIN AN AGRICULTURAL FIELD - A simplified explanation of the abstract
This abstract first appeared for US patent application 18071139 titled 'SYSTEM AND METHOD FOR DETERMINING SURFACE FINISH WITHIN AN AGRICULTURAL FIELD
Simplified Explanation
The agricultural machine described in the patent application utilizes a LiDAR sensor to generate a three-dimensional point cloud of a portion of a field surface. This data is then processed by a computing system to create two-dimensional point cloud slices, which are used to determine a surface finish parameter for the field surface.
- LiDAR sensor generates a three-dimensional point cloud of a field surface.
- Computing system processes the point cloud to create two-dimensional point cloud slices.
- Surface finish parameter is determined based on the two-dimensional point cloud slices.
Potential Applications
This technology can be applied in precision agriculture for analyzing field surfaces and optimizing farming practices.
Problems Solved
This technology helps in accurately assessing the surface finish of a field, which can aid in making informed decisions related to crop management and irrigation.
Benefits
The benefits of this technology include improved efficiency in farming operations, better crop yields, and reduced resource wastage.
Potential Commercial Applications
One potential commercial application of this technology is in the development of smart farming equipment that can automatically adjust farming practices based on real-time field surface data.
Possible Prior Art
Prior art in the field of LiDAR technology for agricultural applications may include research papers or patents related to using LiDAR sensors for field mapping and analysis.
Unanswered Questions
How does this technology compare to traditional methods of assessing field surfaces?
This technology offers a more precise and efficient way of determining surface finish parameters compared to traditional methods such as manual inspection or satellite imagery analysis.
What are the limitations of using LiDAR sensors for field surface analysis?
Some potential limitations of using LiDAR sensors for field surface analysis may include cost, data processing requirements, and environmental factors that can affect sensor performance.
Original Abstract Submitted
An agricultural machine includes a LiDAR sensor configured to generate a three-dimensional point cloud depicting a portion of a field surface present within a field of view of the LiDAR sensor. Furthermore, the agricultural machine includes a computing system configured to receive the generated three-dimensional point cloud from the LiDAR sensor. Additionally, the computing system is configured to generate a plurality of two-dimensional point cloud slices from the received three-dimensional point cloud, with the plurality of two-dimensional point cloud slices being spaced apart from each other such that each of two-dimensional point cloud slices corresponds to a different two-dimensional plane within the received three-dimensional point cloud. Moreover, the computing system is configured to determine a surface finish parameter associated with the portion of the field surface present within the field of view of the LiDAR sensor based on the generated plurality of two-dimensional point cloud slices.
