greenbeans-terang Computer Vision Project

Here are a few use cases for this project:

1. Coffee Quality Control: This model can be beneficial in the automation of coffee quality control processes. By identifying different classes of coffee beans, businesses can automatically segregate low-quality, damaged, or foreign beans from high-quality ones at production facilities, providing a consistent quality of roasts and blends.

2. Agricultural Practices: Farmers and agricultural businesses can use this model to evaluate the quality of their crops. Understanding the types of defects present in their coffee beans yield can help guide future farming practices or pest management strategies.

3. Coffee Trading Platform: An e-commerce platform dealing in coffee trading can integrate this computer vision model to monitor the quality of coffee beans listed for sale. This can provide a fair and transparent trading environment, where quality assessment is not dependent solely on descriptions by the sellers.

4. Academic Research: Researchers studying coffee farming, bean classification, or looking to develop automated systems could use this model as a foundation for various exploratory studies related to the coffee industry.

5. Coffee Equipment Manufacturers: Producers of coffee sorting or roasting equipment could incorporate this model into their devices. This would allow for real-time quality checking and sorting, making their equipment more valuable for industrial-grade coffee producers.