Parsnips/Carrots/Potatoes/Parish discrimination Computer Vision Project

Here are a few use cases for this project:

1. Precision Agriculture: Farmers or agricultural companies can use the model to detect and discriminate between various types of weeds and crops, allowing for targeted herbicide application and weed management. This can assist in improving overall crop yield and reducing the cost of manual labor.

2. Botanical Research: Researchers studying plant biodiversity or invasive plant species can employ the model to identify and track the spread of specific weeds within different habitats or geographical regions.

3. Park and Nature Management: The model can be used by organizations responsible for managing parks, gardens, or nature preserves. They can identify areas of weed infestation for remediation, ensuring healthier ecosystems.

4. Gardening Apps: The model can be integrated into mobile applications for personal gardening. Users can capture pictures of weeds in their garden for identification.

5. Drone-based Weed Mapping: Drones equipped with cameras can use the model to create real-time and detailed maps of weed infestations in large agricultural fields for strategic weed control actions.