{"id":20636070,"url":"https://github.com/anshumanbehera27/bharatagroweb","last_synced_at":"2026-05-07T05:37:53.736Z","repository":{"id":239304376,"uuid":"799158469","full_name":"anshumanbehera27/BharatAgroWeb","owner":"anshumanbehera27","description":null,"archived":false,"fork":false,"pushed_at":"2024-05-11T18:17:51.000Z","size":10956,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-17T07:47:27.783Z","etag":null,"topics":["agriculture","agriculture-data","data-analysis","data-science","data-visualization","flask","ml","python3","streamlit"],"latest_commit_sha":null,"homepage":"https://bharat-agro-web-anshuman27.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/anshumanbehera27.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":"2024-05-11T10:30:11.000Z","updated_at":"2024-05-12T07:19:22.000Z","dependencies_parsed_at":"2025-01-17T07:46:41.957Z","dependency_job_id":"68e026e4-3fa2-4022-ae4a-e85a73d3a671","html_url":"https://github.com/anshumanbehera27/BharatAgroWeb","commit_stats":null,"previous_names":["anshumanbehera27/bharatagroweb"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anshumanbehera27%2FBharatAgroWeb","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anshumanbehera27%2FBharatAgroWeb/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anshumanbehera27%2FBharatAgroWeb/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anshumanbehera27%2FBharatAgroWeb/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/anshumanbehera27","download_url":"https://codeload.github.com/anshumanbehera27/BharatAgroWeb/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242650955,"owners_count":20163611,"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":["agriculture","agriculture-data","data-analysis","data-science","data-visualization","flask","ml","python3","streamlit"],"created_at":"2024-11-16T15:09:01.827Z","updated_at":"2026-05-07T05:37:53.693Z","avatar_url":"https://github.com/anshumanbehera27.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# BharatAgro App\n\nBharatAgro is a web application designed to assist farmers in making informed decisions about crop selection and fertilizer usage based on various factors such as soil composition, climate conditions, and geographical location.\n\n## Features\n\n### 1. Home\n- **Description**: The landing page provides a brief introduction to the BharatAgro App.\n- **Functionality**: Users can navigate through different sections using the sidebar.\n\n### 2. Crop Prediction\n- **Description**: Predicts the best crop to be cultivated based on soil reports.\n- **Inputs**: Nitrogen, Phosphorus, Potassium, Temperature, Humidity, pH, Rainfall.\n- **Algorithms**: Utilizes machine learning models including Decision Tree, Naive Bayes, Support Vector Machine (SVM), Linear Regression, and Logistic Regression, trained on soil data to make predictions.\n- **Output**: Displays the recommended crop for cultivation.\n\n### 3. Fertilizer Prediction\n- **Description**: Predicts the best fertilizer to use based on soil reports and crop type.\n- **Inputs**: Temperature, Humidity, Soil Moisture, Soil Type, Crop Type, Nitrogen, Phosphorus, Potassium.\n- **Algorithm**: Utilizes a Random Forest Classifier, trained on fertilizer data to make predictions.\n- **Output**: Displays the recommended fertilizer for use in the field.\n\n### 4. Crop Location\n- **Description**: Predicts the best crop to be cultivated based on geographical location.\n- **Inputs**: State Name, District Name, Season.\n- **Functionality**: Retrieves crop data based on the provided location from a predefined mapping.\n- **Output**: Displays the recommended crop for cultivation in the specified location.\n\n### webApp images \n![Home page](ProjectImage/homepage.png)\n\n![Soil reports](ProjectImage/soilreport.png)\n\n![Fertilizer](ProjectImage/fertilized.png)\n\n![Location](ProjectImage/location.png)\n\n\n\n\n\n\n\n## Getting Started\n1. Clone the repository to your local machine.\n    ```bash\n    git clone  https://github.com/anshumanbehera27/BharatAgroWeb.git\n    ```\n\n2. Install the required dependencies by running the following command in your terminal:\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n3. Run the application by executing the following command in your terminal:\n    ```bash\n    streamlit run app.py\n    ```\n\n4. Access the application in your web browser at the provided URL.\n   [BhartAgroApp](https://bharat-agro-web-anshuman27.streamlit.app/)\n\n\n## Contributing\nContributions are welcome! If you have any suggestions or improvements, feel free to open an issue or submit a pull request.\n\n## License\nThis project is licensed under the [MIT License](LICENSE).\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanshumanbehera27%2Fbharatagroweb","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanshumanbehera27%2Fbharatagroweb","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanshumanbehera27%2Fbharatagroweb/lists"}