final year project Computer Vision Project

Here are a few use cases for this project:

1. Agricultural Research and Planning: This model could significantly assist farmers or horticulturists in managing their coconut crops. The identification of maturity stages can help them plan for harvesting and replanting, leading to optimized crop yields.

2. Coconut Oil Industry: Manufacturers in the coconut oil industry can use the model to ensure they are procuring the right coconuts at the correct maturity stage for their production process, which can lead to higher quality oil products and enhanced efficiency.

3. Food and Beverage Industry: Companies producing food and beverages containing coconut can use this model to source coconuts at the correct maturity stage that suits their specific flavor profile or texture requirements.

4. Sustainable Farming Practices: By identifying the maturity stages of coconuts, the model can aid in sustainable farming practices where only mature coconuts are harvested, thus ensuring younger coconuts are spared for future yield.

5. Agricultural Drone Monitoring: The model could be integrated with drones to monitor coconut plantation health remotely. By assessing the maturity stages of coconuts, farmers can gain insights into the overall health of the plantation, predicting potential issues and planning suitable actions.