{"id":23921280,"url":"https://github.com/opencodeiiita/pestering-data","last_synced_at":"2025-04-11T22:36:20.228Z","repository":{"id":268374502,"uuid":"901862934","full_name":"opencodeiiita/Pestering-Data","owner":"opencodeiiita","description":"Build an image classification model working with a real world dataset.","archived":false,"fork":false,"pushed_at":"2025-01-12T19:02:42.000Z","size":86190,"stargazers_count":0,"open_issues_count":6,"forks_count":36,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-03-25T18:40:53.383Z","etag":null,"topics":["deep-learning","image-classification","keras-tensorflow","neural-networks","opencode24","python","transfer-learning","transformers"],"latest_commit_sha":null,"homepage":"","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/opencodeiiita.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":"2024-12-11T13:06:05.000Z","updated_at":"2025-03-10T14:20:24.000Z","dependencies_parsed_at":"2024-12-16T11:39:33.363Z","dependency_job_id":"467e0ba6-6036-4505-84a4-a9332930e800","html_url":"https://github.com/opencodeiiita/Pestering-Data","commit_stats":null,"previous_names":["opencodeiiita/pestering-data"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/opencodeiiita%2FPestering-Data","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/opencodeiiita%2FPestering-Data/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/opencodeiiita%2FPestering-Data/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/opencodeiiita%2FPestering-Data/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/opencodeiiita","download_url":"https://codeload.github.com/opencodeiiita/Pestering-Data/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248491328,"owners_count":21112935,"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":["deep-learning","image-classification","keras-tensorflow","neural-networks","opencode24","python","transfer-learning","transformers"],"created_at":"2025-01-05T16:14:38.053Z","updated_at":"2025-04-11T22:36:20.205Z","avatar_url":"https://github.com/opencodeiiita.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🌿 **Pestering-Data**  \n**Using Deep Learning to Classify Crop Health and Diseases**  \n\n---\n\n## 🚀 **Overview**  \nThe use of **Artificial Intelligence (AI)** in agriculture has become increasingly prominent in recent years. AI in agriculture primarily aims to **enhance crop productivity**, **manage pests and diseases**, and **reduce operational costs**. In many developing countries, the agricultural sector faces significant challenges, including **crop diseases and pest infestations**, **limited access to technological knowledge** among farmers, and **inadequate storage infrastructure**, among other issues.  \n\nThis project introduces a **large-scale dataset** comprising **22 classes** divided into **4 main crops**:  \n- 🌰 **Cashew**  \n- 🥔 **Cassava**  \n- 🌽 **Maize**  \n- 🍅 **Tomato**  \n\nEach category has further subdivisions:  \n- **Healthy classes**  \n- **Disease-specific classes**  \n\n### 🎯 **Goal**  \nLeverage modern **Deep Learning** techniques to create a model that accurately classifies crop images as either **diseased** or **healthy**.  \n\n📂 **Dataset Structure:**  \nEach crop folder contains:  \n- **train_set/** for training  \n- **test_set/** for testing  \n\n🔗 **Dataset Link:** [**Kaggle Dataset**](https://kaggle.com/datasets/70386cefea61cfef7efab20c1a430a79a734ef495661efc02b2630b98d8cafc7)  \n\n---\n\n## 📜 **Instructions**  \n\n- **Do not modify any pre-written code or comments.**  \n- Write your code **only in the provided space**.  \n- Add **meaningful comments** to ensure smooth code reviews.  \n- Create a **Pull Request (PR)** as per the issue guidelines.  \n- Join the **Discord server** for any queries or clarifications.  \n- **Strictly refrain from any kind of plagiarism** to avoid any sort of disqualification.  \n\n---\n\n## 🔄 **Procedure**  \n\n1. **Download** the dataset from the link provided above.  \n2. **Fork** this repository and **clone** it to your local machine. *(You may need to re-clone after each task.)*  \n3. **Naming Conventions:**  \n   - **IIIT Allahabad Students:** Name files as **IIT2023098**, where:  \n     - **IIT** = Your branch  \n     - **2023098** = Your unique ID  \n   - **Other College Participants:** Name files as **COLLEGE_ROLLNO** (e.g., **IITBHU_123456**).  \n4. **File Placement:**  \n   - Push your **.ipynb solution files** to the **correct folder**:  \n     - **Example:** Place the solution for **Task1** in **Task1_solutions/**.  \n5. **Submit a Pull Request:**  \n   - Your **PR** will be reviewed by mentors.  \n   - Only **relevant PRs** will be merged and **awarded points**.  \n\n---\n\n## 💡 **Guidelines for Pull Requests**  \n\n- Follow the **naming conventions** strictly.  \n- Use **comments** to explain your approach.  \n- Push solutions to the **correct folder** only.  \n\n---\n\n## 💬 **Need Help?**  \n\n- **Contact Email:** [**iit2023098@iiita.ac.in**](mailto:iit2023098@iiita.ac.in)  \n- **Join the Discussion:** [**Discord Server**](https://discord.gg/bnGquU7C)  \n\n---\n\n### 🔧 **Contribute, Collaborate, and Innovate!** 🚀  \nLet’s make farming smarter with the power of **AI and Deep Learning**!  \n\n---  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopencodeiiita%2Fpestering-data","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fopencodeiiita%2Fpestering-data","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopencodeiiita%2Fpestering-data/lists"}