Viticulture Software - VineSense

1. Vinesense
Viticulture Software
- Software Maestro 5th Vinesense Team -

2. Introduce our Team
Dooseong Eom
front-end developer
Jongbeen Han
front-end developer
Hyeonguk Ryu
back-end developer
Jungun Park
Team Leader
Wonkyun Lim
researcher

3. Introduce our Team
Sungahn Ko
Postdoc
Brian Olsen
Master of science student

4. Problem state
Winemaker
“I would like to manipulate the outcome of the grape as wish”
“Is there a software?”

5. Code name : Vinesense
Get data related to grow grapes
Show data on chart for analysis
Then, analyze and estimate the quality of the grapes!

6. When we arrived..
1. Desktop application based on Windows (MFC Application)
2. Used MySQL on database
3. Have Vineyard in California
4. Have Collected Data during 2 years (temperature, moisture)
(38.34942, -122.30068)

7. Then, what can we do?
Make able to see the chart on web
for winemaker anywhere, anytime!

8. Requirement
Software part:
1. Base Framework is C++
2. Database is MySQL
3. Their want to make software with ASP.NET
4. And Using MVC
5. Show data. Temperature, moisture, site, depth…
Research part :
1. Read thesis about wine and wine software
2. Compare with competitive software

9. 1. Market Research
2. Back-End Develop
3. Front-End Develop

10. 1. Market Research
2. Back-End Develop
3. Front-End Develop

11. Market Research
Because we didn’t know about
viticulture, grape and wine,
We read articles, paper and so on.
We check what elements affect the grape
Specially and .

12. Market Research
Searching for competitive products that have similar functionality
to Vinesense and summarizing their pros and cons

13. 1. Market Research
2. Back-End Develop
3. Front-End Develop

14. Back-End Develop
1. ASP.NET
2. Using MVC design pattern
3. MySQL database
Support Multi-Platform(Windows, OSX, Linux)
Support N-Screen(mobile, tablet, desktop)
Easy to deploy(just edit web server, apply anywhere)

15. Old Schema
Back-End Develop - Problem
It is complicated.
Query is slow
We need to develop a new and
much improved database schema

16. Old Schema New Schema
Improvement
- Scalable sensor data
- Some query spend about 10min -> 3.172sec!
Back-End Develop - Problem

17. 1. Market Research
2. Back-End Develop
3. Front-End Develop

18. Front-End Develop
1. Responsive web page
2. Show data by..
Underground, map, outside
Daily, Weekly, Monthly
Temperature, moisture
Depth, site
3. Using Highchart.js, moment.js

19. Make, Break, Make

20. We did it!
Now we give a demonstration

21. Thank you
Vinesense
Software Maestro 5th