{"id":25978622,"url":"https://github.com/sahilll94/crop-recommendation-system","last_synced_at":"2026-05-06T04:05:10.845Z","repository":{"id":280668724,"uuid":"942775505","full_name":"Sahilll94/Crop-Recommendation-System","owner":"Sahilll94","description":"A Crop Recommendation System using machine learning to predict the best crop based on soil and environmental conditions.","archived":false,"fork":false,"pushed_at":"2025-03-04T17:17:18.000Z","size":0,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-04T17:40:50.662Z","etag":null,"topics":["machine-learning","streamlit","webapp"],"latest_commit_sha":null,"homepage":"https://crop-recommendation-system-sahil.streamlit.app/","language":"Jupyter Notebook","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/Sahilll94.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-03-04T16:50:05.000Z","updated_at":"2025-03-04T17:20:06.000Z","dependencies_parsed_at":"2025-03-04T17:40:53.320Z","dependency_job_id":"48518d21-9619-46a9-9edd-7d0fdb4efa30","html_url":"https://github.com/Sahilll94/Crop-Recommendation-System","commit_stats":null,"previous_names":["sahilll94/crop-recommendation-system"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Sahilll94/Crop-Recommendation-System","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sahilll94%2FCrop-Recommendation-System","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sahilll94%2FCrop-Recommendation-System/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sahilll94%2FCrop-Recommendation-System/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sahilll94%2FCrop-Recommendation-System/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Sahilll94","download_url":"https://codeload.github.com/Sahilll94/Crop-Recommendation-System/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sahilll94%2FCrop-Recommendation-System/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32677935,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-06T02:33:58.958Z","status":"ssl_error","status_checked_at":"2026-05-06T02:33:39.611Z","response_time":117,"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":["machine-learning","streamlit","webapp"],"created_at":"2025-03-05T05:28:04.745Z","updated_at":"2026-05-06T04:05:10.789Z","avatar_url":"https://github.com/Sahilll94.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🌾 Crop Recommendation System  \r\n\r\n## 📌 Overview  \r\nThis is a machine learning-based **Crop Recommendation System** that suggests the best crop to grow based on soil nutrients (N, P, K), temperature, humidity, pH, and rainfall.  \r\n\r\n## 🚀 Features  \r\n- Predicts the most suitable crop using ML algorithms.  \r\n- User-friendly web interface built with **Streamlit**.  \r\n- Accepts soil and weather inputs to make recommendations.  \r\n\r\n## 📊 Dataset  \r\nThe model is trained on an agricultural dataset containing information about:  \r\n- **Soil Nutrients:** Nitrogen (N), Phosphorus (P), Potassium (K)  \r\n- **Environmental Factors:** Temperature (°C), Humidity (%), Rainfall (mm), pH  \r\n\r\n## 🛠 Tech Stack  \r\n- **Frontend:** Streamlit  \r\n- **Backend:** Python (Flask/FastAPI for API)  \r\n- **ML Model:** Random Forest / Decision Tree \r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsahilll94%2Fcrop-recommendation-system","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsahilll94%2Fcrop-recommendation-system","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsahilll94%2Fcrop-recommendation-system/lists"}