International business machines corporation (20240161021). AI LAND DISCOVERY FOR POTENTIAL CROP GROWING simplified abstract
Contents
- 1 AI LAND DISCOVERY FOR POTENTIAL CROP GROWING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 AI LAND DISCOVERY FOR POTENTIAL CROP GROWING - 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
AI LAND DISCOVERY FOR POTENTIAL CROP GROWING
Organization Name
international business machines corporation
Inventor(s)
Saraswathi Sailaja Perumalla of Visakhapatnam (IN)
Sarbajit K. Rakshit of Kolkata (IN)
Venkata Ratnam Alubelli of Visakhapatnam (IN)
AI LAND DISCOVERY FOR POTENTIAL CROP GROWING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240161021 titled 'AI LAND DISCOVERY FOR POTENTIAL CROP GROWING
Simplified Explanation
The patent application describes a method for AI land discovery for potential crop growing, which involves extracting features from imaging of a geographic area to identify underutilized or unutilized land, analyzing multimedia related to climatic conditions affecting the identified land, deploying at least one robot to obtain local measurements, evaluating crop growth viability for at least one crop, and implementing the cultivation of the crop.
- Features are extracted from imaging of a geographic area.
- Underutilized or unutilized land is identified based on the extracted features.
- Multimedia related to climatic conditions affecting the identified land is analyzed.
- At least one robot is deployed to obtain local measurements at the identified land.
- Crop growth viability is evaluated for at least one crop using the analyzed climatic conditions and obtained local measurements.
- The cultivation of the crop is implemented.
Potential Applications
This technology can be applied in agriculture, land management, and environmental monitoring.
Problems Solved
This technology helps in identifying underutilized or unutilized land for potential crop growing, optimizing crop cultivation based on climatic conditions, and improving land productivity.
Benefits
The benefits of this technology include increased agricultural productivity, efficient land use, and sustainable crop cultivation practices.
Potential Commercial Applications
The potential commercial applications of this technology include precision agriculture solutions, land assessment services, and crop management systems.
Possible Prior Art
One possible prior art could be remote sensing technologies used for land assessment and crop monitoring.
Unanswered Questions
How does the method ensure the accuracy of the extracted features from imaging data?
The method may use advanced image processing algorithms and machine learning techniques to enhance the accuracy of feature extraction.
What are the potential limitations of deploying robots for obtaining local measurements in different types of terrain?
The limitations could include accessibility issues in rugged terrains, calibration requirements for accurate measurements, and potential environmental hazards for the robots.
Original Abstract Submitted
a method is provided for ai land discovery for potential crop growing that includes extracting features from imaging of a geographic area. underutilized or unutilized land is identified within the geographic area based on the extracted features. multimedia is analysed related to climatic conditions affecting the underutilized or unutilized land. at least one robot is deployed to obtain local measurements at the identified underutilized or unutilized land. crop growth viability is evaluated for at least one crop at the underutilized or unutilized land. the crop growth viability includes the analysed climatic conditions and obtained local measurements. the cultivation of the at least one crop is implemented.
