seasonal fruits Computer Vision Project

Here are a few use cases for this project:

1. Quality Control in Agriculture: Farmers and agricultural companies could use this model to assess the quality of fruits like maracuya and tumbo during seasonal harvesting. It allows determining whether the fruits are good or bad, thereby facilitating informed decisions on selling or discarding the fruits.

2. Supermarket Stock Management: Supermarkets could use the computer vision model to manage their stock more effectively. By identifying whether fruits are in good or bad condition, waste can be anticipated and managed to optimize shelf space and supply chain operations.

3. Food Processing Industry: Companies in the food processing industry, such as those producing juices, canned fruits, or smoothies, could use the model to determine the quality of the raw fruits. It would enable the detection and separation of bad fruits from good ones, ensuring only high-quality fruits are used in the production process.

4. Consumer Applications: Apps that aim to help consumers choose fresh and good fruits can utilize this model. It could guide users in identifying whether maracuya or tumbo is in good condition, raising awareness about seasonal fruits and their qualities, and promoting healthy eating habits.

5. Research and Education: The model could be used in academic or agricultural research to study factors affecting the quality of maracuya and tumbo during different seasons. It could also serve as an educational tool in botany and agricultural courses to teach students how to identify and differentiate between good and bad condition fruits.