View source for 17806740. LANDSCAPE CHANNELING USING AN AUTONOMOUS ROBOTIC SOIL DREDGER simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

=LANDSCAPE CHANNELING USING AN AUTONOMOUS ROBOTIC SOIL DREDGER=


==Organization Name==

[[:Category:INTERNATIONAL BUSINESS MACHINES CORPORATION|INTERNATIONAL BUSINESS MACHINES CORPORATION]]


[[Category:INTERNATIONAL BUSINESS MACHINES CORPORATION]]

==Inventor(s)==

[[:Category:Partho Ghosh of Kolkata (IN)|Partho Ghosh of Kolkata (IN)]][[Category:Partho Ghosh of Kolkata (IN)]]

[[:Category:Sarbajit K. Rakshit of Kolkata (IN)|Sarbajit K. Rakshit of Kolkata (IN)]][[Category:Sarbajit K. Rakshit of Kolkata (IN)]]

[[:Category:Akash U. Dhoot of Pune (IN)|Akash U. Dhoot of Pune (IN)]][[Category:Akash U. Dhoot of Pune (IN)]]

==LANDSCAPE CHANNELING USING AN AUTONOMOUS ROBOTIC SOIL DREDGER - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17806740 titled 'LANDSCAPE CHANNELING USING AN AUTONOMOUS ROBOTIC SOIL DREDGER

==Simplified Explanation==

The abstract describes a computer-based method for using an autonomous robotic soil dredger to dynamically shape landscapes. The method involves analyzing various landscape metrics, such as soil quality, environmental conditions, and vegetation water consumption. Based on these metrics, a digital representation of proposed trench and ridge metrics is generated, including trench depth, distance between trenches, stream size, trench slope, and shape. A trench pattern is then determined based on this digital representation, and the autonomous robotic soil dredger is used to create the trenches according to the pattern.

* Computer-based method for shaping landscapes using an autonomous robotic soil dredger
* Derives landscape metrics including soil quality, environmental conditions, and vegetation water consumption
* Generates a digital twin of proposed trench and ridge metrics based on the derived landscape metrics
* Proposed metrics include trench depth, distance between trenches, stream size, trench slope, and shape
* Determines a trench pattern based on the digital twin
* Collaborates with the autonomous robotic soil dredger to create the trenches according to the pattern

==Potential Applications==
* Landscaping and land management projects
* Agricultural irrigation systems
* Erosion control and flood prevention measures
* Environmental restoration and conservation efforts

==Problems Solved==
* Efficient and precise shaping of landscapes
* Optimization of trench and ridge metrics for desired outcomes
* Reduction of manual labor and human error in landscape channeling
* Adaptation to changing environmental conditions and soil quality

==Benefits==
* Increased efficiency and accuracy in landscape channeling
* Improved water management and conservation
* Enhanced erosion control and flood prevention
* Facilitation of environmental restoration and conservation efforts


==Original Abstract Submitted==

A computer-implemented method for dynamic landscape channeling using an autonomous robotic soil dredger. The method derives one or more landscape metrics, wherein the one or more landscape metrics comprise soil metrics, environmental conditions, and vegetation water consumption metrics. The method further generates a digital twin of proposed trench and ridge metrics based on the derived one or more landscape metrics, wherein the proposed trench and ridge metrics comprise a depth of the trench, a distance between one or more trenches, a stream size, a slope of the trench, and a shape of the trench. The method further determines a trench pattern based on the generated digital twin of the proposed trench and ridge metrics and collaborates with the autonomous robotic soil dredger to generate the trench pattern.



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