OSI Systems has developed a method using X-ray scanners to determine the mass of crops. By obtaining and aligning scan images along different planes, the system can accurately estimate the weight of plants based on fruit-bearing portions. This innovative technology offers precise crop measurement capabilities. GlobalData’s report on OSI Systems gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on OSI Systems, was a key innovation area identified from patents. OSI Systems's grant share as of February 2024 was 59%. Grant share is based on the ratio of number of grants to total number of patents.
Estimating crop mass using x-ray scanner
A recently granted patent (Publication Number: US11927551B2) discloses a method for estimating the weight of plants, particularly focusing on plants organized in rows with fruit-bearing portions. The method involves irradiating the plants with X-rays from opposing sides, obtaining scan images, correlating and isolating fruit-bearing portions, aligning images, and estimating weight based on the aligned images. Additional steps include enhancing contrast, de-noising, processing images, flipping visuals, and normalizing scan images. The method also involves determining GPS coordinates, locating rows of plants, and analyzing images at a pixel level or feature level for weight estimation.
Furthermore, the patent claims involve processing images to identify clusters, annotating clusters, and using deep learning algorithms for cluster identification. The method also includes dual-view data acquisition, analyzing X-ray backscatter signals, and integrating signal intensity for mass determination. The patent details the use of X-ray scanners, correction processes for images, and analyzing fruit clusters on a pixel-by-pixel basis for weight estimation. Overall, the method provides a comprehensive approach to estimating plant weight based on X-ray imaging, image processing techniques, and data analysis methods, offering potential applications in agriculture and horticulture industries for efficient plant monitoring and management.
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