INFECTED5 Computer Vision Project

Here are a few use cases for this project:

1. Agriculture Management: This model could be used in smart farming systems to identify and sort out infected, over-ripe, or rejected fruits during harvest. This will streamline quality control and waste management processes in farms or orchards, leading to improved crop quality and profitability.

2. Supermarkets and Grocery Stores: INFECTED5 could be utilized in supermarkets and grocery stores to ensure that only fresh and healthy fruits are displayed for consumers. By identifying over-ripe and infected fruits, the model can help avoid food wastage and enhance customer satisfaction.

3. Food Processing Plants: In factories where fruits are processed for making juices, canned fruits or jams, this model could improve efficiency by quickly sorting out infected and rejected fruits before they enter the processing line.

4. Supply Chain Monitoring: The model can be deployed in supply chain systems for perishables, acting as an automated quality check tool. It can help detect any infected or over-ripe fruits at any point in the chain, from the farm to the retail shelves.

5. Research and Development: Scientists and researchers can use INFECTED5 in studying disease patterns in fruits. With its ability to identify infected specimens, this model could help in developing more disease-resistant crops in the future.