Update README.md

README.md

@@ -1,21 +1,24 @@
 ---
 title: README
-emoji: 🐠
+emoji: 🌿
 colorFrom: green
 colorTo: blue
 sdk: static
 pinned: false
+license: apache-2.0
+short_description: An Open-Source Initiative for AI in Agriculture
 ---
 
-# 🌿 Plant Research Organization  
+##  🌿 AgriVision
 
-## Overview  
-The **AgriVision** is dedicated to addressing temporary gaps for leaf disease classification.  
-We provide resources and tools for researchers, students, and practitioners to explore and apply **plant image processing techniques** for advancing plant science.  
+**Advancing Agriculture through Computer Vision and AI**
+The **AgriVision** is a dedicated group for Research in Agriculture, We utilizes `Computer Vision` and `Machine learning` for solving problems in agricultural field, such as accurate leaf disease detection, segmentation and crop health identification. 
+We provide resources and tools for researchers and students to explore and apply **Computer Vision** and **Image processing techniques** for advancing plant science.  
+
+## Common classical problems we handle  
 
-## Features  
 - **Segmentation Masks** – Generate binary or multi-class masks for plant structures  
-- **Annotations** – Add and manage precise labels for datasets  
+- **Annotations** – Add and manage precise annotation/bounding box 
 - **Image Processing** – Perform preprocessing tasks such as cropping, resizing, and filtering  
 - **Plant-Type Labeling** – Classify and organize images by species (e.g., basil, tomato, etc.)  
 
@@ -23,4 +26,27 @@ We provide resources and tools for researchers, students, and practitioners to e
 To empower the plant pathology community with accessible, reliable, and standardized **image processing techniques**, enabling faster research, improved dataset quality, and better insights into plant health.  
 
 ## Vision  
-A collaborative platform that bridges the gap between **plant health** and **computer vision**, fostering innovation in agriculture, sustainability, and plant sciences.
+A collaborative platform that bridges the gap between **plant health** and **computer vision**, fostering innovation in agriculture, sustainability, and plant sciences.
+
+## Get Involved & Collaborate
+We are an open group and welcome collaboration from anyone passionate about AI in agriculture.
+* **Contribute to Datasets:** Help us annotate and expand our public datasets.
+* **Develop Models:** Share your notebooks and train new models on our data.
+* **Provide Feedback:** Use our models and tools, and provide feedback to help us improve.
+
+Feel free to open an issue in our project repositories or start a discussion to share your ideas!
+
+---
+
+## 📜 Citing Our Work
+If you use any of our datasets, models, or code in your research, please consider citing us:
+
+```bibtex
+@misc{agrivision_2025,
+  author    = {AgriVision Community},
+  title     = {AgriVision: An Open-Source Initiative for AI in Agriculture},
+  year      = {2025},
+  publisher = {Hugging Face},
+  journal   = {Hugging Face repository}
+}
+```