Update README.md

README.md

@@ -11,15 +11,17 @@ short_description: An Open-Source Initiative for AI in Agriculture
 
 ##  🌿 AgriVision
 
-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.  
+The **AgriVision** is a dedicated group for Research in Agriculture, We utilizes `Computer Vision` and `Deep Learning` for solving problems in agricultural field, such as leaf annotation, labelling, detection, segmentation, classification, etc. 
+We provide resources and tools for researchers to explore and apply **Computer Vision** and **Image processing techniques** for advancing plant science.  
 
 ## Common classical problems we handle  
 
 - **Segmentation Masks** – Generate binary or multi-class masks for plant structures  
 - **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.)  
+- **Plant-Type Labeling** – Classify and organize images by species (e.g., basil, tomato, etc.)
+
+> We utilizes pretrained models, tools like CVAT, and platforms like Roboflow for ease in solving problems.
 
 ## Mission  
 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.  
@@ -37,7 +39,7 @@ Feel free to open an issue in our project repositories or start a discussion to
 
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-## 📜 Citing Our Work
+## Citing Our Work
 If you use any of our datasets, models, or code in your research, please consider citing us:
 
 ```bibtex