System for inspecting and evaluating a green infrastructure
AssigneeMorgan State University
InventorsJames G Hunter, Jingwen Xue, Xuejun Qian
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AssigneeMorgan State University
InventorsJames G Hunter, Jingwen Xue, Xuejun Qian
Estimating the term…
A cost-effective, efficient, and innovative system of the invention integrates the state-of-the art of the facilities, Unmanned Aerial Vehicle, computer-based tools, quantitative standard values, optionally along with fuzzy logic, to assess GI performance based on factors such as plant density percentages, plant health condition, and invasive plant numbers. A UAV drone is used to take images above the plants and analyze the images to get the plant density percentage for various GI sites. The Normalized Difference Vegetation Index (NDVI) value is calculated and used to analyze images and investigate the plant health conditions. NDVI values between −1 and 0 correspond to non-plant surfaces, such as equipment, water, or soil. The higher the NDVI value, the greater their density and health. For counting invasive plant numbers, a machine/deep learning method may be applied to enhance invasive plant features to detect and enumerate invasive plants among normal plants in the captured images.
A computer-implemented system for assessment of green infrastructure comprising:
Dependencies are inferred from the claim text.