SI-GuidedProject-611637-1700368667

Website Name - Agrosafe.ai

Project Name - Safeguarding Agriculture: AI-Enabled Prognostication of Farm Insect Threats

Team Members

• @saptarshi11
• @Aakash-777
• @subhradip-bo
• @Supratik5620

Project Design

Feature 1

We are storing the path of the image in the “image_path” variable. Then we are passing the image to the pre-trained YOLOv8 model to make predictions which is getting stored in “result” variable.Then the name of the predicted insect is fetched from the “result” variable using “names_dict = results[0].names” which is getting stored in ‘names_dict” variable. Then, we are storing the input image in the “testImage” variable. At last we are outputting the image along with the predicted name of the insect.

Feature 2

The model predicts the insect and gives additional information that would be helpful to the user to effectively tackle their issues.

Performance Testing

• Accuracy Training Accuracy = 0.958
• Validation Accuracy = 0.806

Required software

Need to set up a development environment with the required software.

Python:

• Install Python on your machine. You can download it from the official Python website. Make sure to add Python to your system's PATH during the installation.

Ultralytics YOLOv8:

• Clone the YOLOv8 repository from the Ultralytics GitHub repository:

git clone https://github.com/ultralytics/yolov5.git
cd yolov5
pip install -U -r requirements.txt

##HTML, CSS, JS:

• For web development, you don't need to install HTML, CSS, or JavaScript explicitly. These are interpreted by web browsers. Create HTML, CSS, and JS files as needed. Flask:

Install Flask, a Python web framework, using pip:

pip install Flask

Fetch API/AJAX:

• These are client-side technologies, so you don't need to install anything explicitly. You'll use them in your JavaScript code to make asynchronous requests to your Flask server.

Code Editor:

• Choose a code editor or an integrated development environment (IDE) for your development work. Popular choices include Visual Studio Code, Atom, PyCharm, etc.

Additional Libraries:

Depending on your specific project requirements, you might need additional Python libraries or JavaScript packages. For example, you might need a library like OpenCV for image processing in Python.

Source Code :

https://github.com/smartinternz02/SI-GuidedProject-611637-1700368667

Demonstration Link :

https://drive.google.com/file/d/1lmKA9Ove_yYsgW3XuwBIC58aICoNpXJY/view?usp=drive_link

Screenshot

• 1.Webpage screenshot
• 2.Uploading image for the detection of the insect
• 3.The prediction and the recommendation