This project is being produce focusing on agriculture. That's all for now. we will let you know the details soon

1. Responsive Website(Can be used smoothly in PC, Tablet and Mobile)
2. One of the special feature added for detecting the potato leaf disease Using ML and Deep Neural Network Technique
3. Added Pagination to make the website user friendly
4. Search Option added by Q object Technique for finding the related / categorical / similiar blog articles
5. Automatic pdf Download Option available
6. Sending Email Option Added
7. Tailwind Integration with Django
8. Streamlit application integrated with Django
9. Used Postgresql database to make the website more robust and rapidly accessible
10. Initial Internationalization (i18n) and Localizatin(l10n) is added for the testing purpsoe

We are commited to make a significant roles to our Bangladeshi Farmers! We aim to make such a platform where Our farmers, young generation will be more intersted to use modern technology and tools in the sector of agriculture. We will provide informations, resources, tools and will share our vision to inspire our people! We have god gifted weather, climate and fertile land which is very preferable to grow agricultural products like Rice, Wheat, Potatoes and Vegetables! So we will keep update and contribute to make our platform in another level. Stay Tune!

1. Agrotechnology: Live Potato Leaf Disease Detect Section

We all know that, Bangladesh is a agricultural blessed country and has lot of natural adavntages for producing corps! Rice and Potatos are the major corps that are mostly consume in Bangladesh! According to FAO ( Food and Agricultural Organization), almost 25% potatoes are lost because of not taking necessary step , infect of pest. In this section, We built a system based on ML and Deep Learning technique and deployed into the streamlit which is a data science platform to deploy the trained model to use it in real time. And Finally we integrated this app with our mother application called "HuoAgroFarm". If you want to know more details about this potato leaf disease detection system,

please visit this link: https://github.com/Habib16051/potato-disease-detection

This is the User Interface of Potato Leaf Disease Detection where We can insert an image to detect the disease

After inserted the image, Our trained model will analyze the image and will give the output result with feedback

2. Products Section

Product Details:

3. Seasons

   

4. Blogs

   

5. Blog Details

   

6. Blog Searching

   

7. Contact

   

   Confirmation:

   

   Email:

   

8. Internationalization:

   

9. Pagination

   

There are some exceptional features are coming...... Stay tune with us!

Thanks!!