{"id":21317009,"url":"https://github.com/hkedia321/rice-quality-analysis","last_synced_at":"2025-07-12T02:32:36.128Z","repository":{"id":135135453,"uuid":"109719796","full_name":"hkedia321/rice-quality-analysis","owner":"hkedia321","description":"Classify rice grains by calculating their average length/breadth ratio by using Image processing in python.","archived":false,"fork":false,"pushed_at":"2023-05-27T08:49:31.000Z","size":821,"stargazers_count":27,"open_issues_count":2,"forks_count":12,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-04-17T03:57:49.352Z","etag":null,"topics":["cv2","hacktoberfest","image-processing","matplotlib","numpy","python2-7","rice"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/hkedia321.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2017-11-06T16:21:46.000Z","updated_at":"2024-03-06T05:34:43.000Z","dependencies_parsed_at":null,"dependency_job_id":"ef3492f0-c1f0-4ec0-b3be-9a5da3a779d3","html_url":"https://github.com/hkedia321/rice-quality-analysis","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hkedia321%2Frice-quality-analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hkedia321%2Frice-quality-analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hkedia321%2Frice-quality-analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hkedia321%2Frice-quality-analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hkedia321","download_url":"https://codeload.github.com/hkedia321/rice-quality-analysis/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225786984,"owners_count":17524103,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cv2","hacktoberfest","image-processing","matplotlib","numpy","python2-7","rice"],"created_at":"2024-11-21T18:41:35.621Z","updated_at":"2024-11-21T18:41:36.193Z","avatar_url":"https://github.com/hkedia321.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Rice quality analysis through image processing\nWe analyse the quality of rice by calculating the average length/breadth ratio for each rice grain. We use **Image processing** Based on this ratio, rice quality can be graded. This implementation is based on this [research paper](https://github.com/hkedia321/rice-quality-analysis/blob/master/research-paper.pdf). We are using `openCV`, `numpy`, and `matplotlib` libraries in `Python 2`.\n\n## Running Locally\n```\n- clone this repo\n- install the necessary libraries\n- run `python code.py`\n```\n\n## Screenshots\n![Output](https://github.com/hkedia321/rice-quality-analysis/blob/master/screenshots/images.png)\n\n![Terminal](https://github.com/hkedia321/rice-quality-analysis/blob/master/screenshots/terminal.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhkedia321%2Frice-quality-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhkedia321%2Frice-quality-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhkedia321%2Frice-quality-analysis/lists"}