durianfyp Computer Vision Project

Here are a few use cases for this project:

1. Agricultural Management: Durianfyp can be used by farmers and agricultural researchers to monitor the growth and health of durian plants at various stages, enabling better decision-making in terms of fertilization, pest control, and harvest prediction.

2. Automated Harvesting: Integrating Durianfyp into robotic harvesting systems can improve efficiency and reduce labor costs by accurately identifying and selecting ripe durian fruits, leaving buds and flowers unharmed for further growth.

3. Quality Control and Sorting: Durianfyp can be used in processing facilities to automatically classify and sort durians based on their growth stage, ensuring that only the highest quality fruits are packaged and shipped to consumers.

4. Environmental Impact Studies: Researchers can employ Durianfyp to analyze satellite images or aerial survey data to evaluate durian cultivation's influence on local ecosystems and land use patterns, informing sustainable agricultural practices and policies.

5. Educational Applications: Durianfyp can be an interactive tool for educators, students, and enthusiasts to learn about durian life stages and plant anatomy, with potential applications in e-learning platforms, mobile apps, or in-person workshops.