18055263. AI LAND DISCOVERY FOR POTENTIAL CROP GROWING simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
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 Unanswered Questions
- 1.11 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 18055263 titled 'AI LAND DISCOVERY FOR POTENTIAL CROP GROWING
Simplified Explanation
The method described in the abstract is for AI land discovery for potential crop growing, which involves identifying underutilized or unutilized land, analyzing climatic conditions, deploying robots for local measurements, evaluating crop growth viability, and implementing crop cultivation.
- Features are extracted from imaging of a geographic area.
- Underutilized or unutilized land is identified based on the extracted features.
- Multimedia is analyzed for climatic conditions affecting the identified land.
- 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.
- Cultivation of the crop is implemented.
Potential Applications
This technology can be applied in agriculture, land management, and environmental conservation.
Problems Solved
This technology helps in identifying and utilizing underutilized or unutilized land for crop cultivation, maximizing agricultural productivity.
Benefits
The method optimizes crop growing potential, improves land utilization efficiency, and contributes to sustainable agriculture practices.
Potential Commercial Applications
Commercial applications include precision agriculture, land development projects, and agricultural consulting services.
Possible Prior Art
One possible prior art could be the use of satellite imagery and remote sensing technologies in agriculture for land assessment and crop monitoring.
Unanswered Questions
How does the method handle variations in soil types and fertility across the identified land?
The method does not specify how it accounts for soil variations and fertility levels in the identified underutilized or unutilized land.
What are the potential limitations or challenges in deploying robots for local measurements in different geographic areas?
The method does not address the potential obstacles or limitations that may arise when deploying robots for obtaining local measurements in diverse geographic locations.
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.
