{"id":21281242,"url":"https://github.com/m-rishab/cropcare","last_synced_at":"2026-04-08T18:07:08.670Z","repository":{"id":209120876,"uuid":"723284643","full_name":"m-rishab/CropCare","owner":"m-rishab","description":"A solution for intelligent and simplified agriculture.","archived":false,"fork":false,"pushed_at":"2024-01-12T07:04:04.000Z","size":10114,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-31T01:17:43.342Z","etag":null,"topics":["cnn","deeplearning","flask","kaggle-dataset","python3","pytorch","resnet-50","tensorflow","weather-api"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/m-rishab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2023-11-25T07:07:23.000Z","updated_at":"2024-01-16T11:18:03.000Z","dependencies_parsed_at":"2024-01-01T08:13:39.360Z","dependency_job_id":"1174b726-ec71-40a0-89d2-929b7240bf1b","html_url":"https://github.com/m-rishab/CropCare","commit_stats":{"total_commits":82,"total_committers":1,"mean_commits":82.0,"dds":0.0,"last_synced_commit":"e7741e94f3bf344a9d517e7766bc244f80327f3f"},"previous_names":["m-rishab/cropcare"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/m-rishab/CropCare","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/m-rishab%2FCropCare","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/m-rishab%2FCropCare/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/m-rishab%2FCropCare/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/m-rishab%2FCropCare/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/m-rishab","download_url":"https://codeload.github.com/m-rishab/CropCare/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/m-rishab%2FCropCare/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31567364,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-08T14:31:17.711Z","status":"ssl_error","status_checked_at":"2026-04-08T14:31:17.202Z","response_time":54,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["cnn","deeplearning","flask","kaggle-dataset","python3","pytorch","resnet-50","tensorflow","weather-api"],"created_at":"2024-11-21T10:46:29.606Z","updated_at":"2026-04-08T18:07:08.650Z","avatar_url":"https://github.com/m-rishab.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# CropCare Project\n\nCropCare is an innovative agricultural project designed to address critical challenges in modern farming. Leveraging advanced technologies for precision farming, the system comprises three essential components: Crop Recommendation, Fertilizer Recommendation, and Plant Disease Detection. The primary objective is to empower farmers with data-driven insights and smart solutions to optimize crop yield, reduce resource wastage, and enhance overall farm productivity.\n\n## Components\n\n1. **Crop Recommendation:** Provides personalized recommendations for suitable crops based on various factors, aiding farmers in making informed planting decisions.\n\n2. **Fertilizer Recommendation:** Offers precise recommendations for fertilizers tailored to the specific needs of crops, ensuring efficient resource utilization.\n\n3. **Plant Disease Detection:** Utilizes advanced technology to identify and diagnose plant diseases, enabling early intervention and minimizing crop damage.\n\n## Data Flow Diagram\n\n\u003cimg src=\"https://github.com/m-rishab/CropCare/assets/113618652/238ec4a3-41b3-4fd7-9d12-60aef8f9b3fe.jpg\" alt=\"Data Flow Diagram\" width=\"600\"/\u003e\n\n## System Design\n\n### Crop Recommendation\n\u003cimg src=\"https://github.com/m-rishab/CropCare/assets/113618652/bffd0913-9882-4a02-a5b4-b03e27bf112c.png\" alt=\"Crop Image\" width=\"500\"/\u003e\n\n### Fertilizer Recommendation\n\u003cimg src=\"https://github.com/m-rishab/CropCare/assets/113618652/3190badd-54a3-4196-92d5-59d04fbc9dd7.png\" alt=\"Fertilizer Image\" width=\"300\"/\u003e\n\n### Plant Disease Detection\n\u003cimg src=\"https://github.com/m-rishab/CropCare/assets/113618652/2b3afd27-cf60-4399-8c85-e1b72f4af5ba.png\" alt=\"Plant Disease Image\" width=\"300\"/\u003e\n\n## Test Dataset (For Plant Disease)\n\n[https://drive.google.com/drive/folders/1z_S7CJ80B3NKQ35hwfNLCNWfrXFX4cyK?usp=sharing]\n\n## OpenWeatherMap API Integration\n\n![Weather API](https://github.com/m-rishab/CropCare/assets/113618652/237c2f21-56bd-4c26-990c-da9a7ef2a9b1)\n\n## Demo\n## *DEMO-1 ( Crop Recommendation)*\n![6057ce8f-c16b-4f53-b58a-a13c4efdc427](https://github.com/m-rishab/CropCare/assets/113618652/6bd2e7db-a90d-4239-aa3f-2605cd4fffea)\n\n\n## *DEMO-2 ( Fertilier Recommendation)*\n![c26f867d-b362-4c89-9122-7d94bc4ec7a4](https://github.com/m-rishab/CropCare/assets/113618652/8e89b30e-8ac3-4e14-a7a7-dd4458e2f752)\n\n# *DEMO-3 (Plant-Disease Detection \u0026 Classification)*\n![7c121e6c-80fe-483c-8f1d-d7e0a3ac604f](https://github.com/m-rishab/CropCare/assets/113618652/5c5a3d30-bcd7-4159-a0db-8da396b3e26e)\n\n## How to Run\n\nTo run the code, use the following command:\n\n```bash\npython app.py\nor\nflask run\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fm-rishab%2Fcropcare","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fm-rishab%2Fcropcare","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fm-rishab%2Fcropcare/lists"}