The project constitutes an addition of a new tool to an application made in another project for Visiona. In this tool it was necessary to go to the field to count pods and grains for its use and this required time from the farmer,the idea of creating a tool with artificial intelligence for automatic and visual counting of these grains was created and given to us to develop.
It was decided that the project would be divided into 4 deliveries, throughout the sprints it will be updated and modified as the deliveries progress.
You can also see the complete Product Backlog of each sprint clicking here
Our main delivery for this sprint is the main functionality of the application, the user being able to use the image of his sample in the application and it returns the number of soybean seeds.
Each step that the user will follow to get the return of the number of soybean seeds.
| Step 1 | Step 2 | Step 3 | Step 4 | Step 5 |
|---|---|---|---|---|
 |
 |
 |
 |
 |
| Sprints | About | Delivery | README | Release |
|---|---|---|---|---|
| Sprint 1 | AI modeling and training to identify soybean pods present in plant photos. | 18/09 | View | Download |
| Sprint 2 | Implement and train image recognition and classification AI for seed count in soybean pods. | 09/10 | View | Download |
| Sprint 3 | Implementing AI in the application with user core functionalities. | 06/11 | View | Download |
| Sprint 4 | Improved effectiveness of seed identification and user functionality. | 27/11 | View | Download |
| Scrum Master | Product Owner | Dev Team | Dev Team | Dev Team | Dev Team | Dev Team | Dev Team |
|---|---|---|---|---|---|---|---|
 |
 |
 |
 |
 |
 |
 |
 |
 |
|
|
|
|
|
|
|