Team Name | Smart Harvest |
Track | Retail, Consumer Goods & Manufacturing |
Use Case | Optimizing harvesting planning, Sugarcane harvesting requires exhaustive and complex planning due to environmental and logistical factors. To meet the objectives of harvest utilization, water conservation, and daily quotas, the daily plan must adapt to constant changes in variables like sugarcane growth, climate changes, and machinery logistics. Our main objective is to create a model that helps Ingenio La Unión to optimize harvesting planning. |
Technology | Machine Learning, SAS Viya, Visual Analytics, SAS EG, Predictive Analytics, Data Mining |
Region | LATAM |
Team lead | Luis Rodrigo Bolaños Piedrasanta |
Team members | @LuisRodrigo @CCastellanos @nebiyu1 @skhotijah @MarcoMeza @RCuevas |
Social media handles | Luis Rodrigo CCastellanos Siti Khotijah Nebiyu Talefe Marco Meza RCuevas |
Is your team interested in participating in an interview? | Y |
Optional: Expand on your technology expertise |
Hi,
Are you looking for additional teammates. It is a very interesting project, and I would like to contribute. I have experience with SAS Viya, SAS EG and Python. I work in Data Analytics and Machine learning field. Please let me know if there is an opportunity for me. Email @ praveena.parpati@evernorth.com
Thank you
Praveena
Hello,
Are you looking for any additional teammates.I find the project you are working on is interesting and exciting .I would love to join you team if there is any vacancy,Together we can contribute to the community and grow.
email: srinivasguptaveerabomma@gmail.com
Srinivas Gupta
Build your skills. Make connections. Enjoy creative freedom. Maybe change the world. Registration is now open through August 30th. Visit the SAS Hackathon homepage.
Register today!Build your skills. Make connections. Enjoy creative freedom. Maybe change the world. Registration is now open through August 30th. Visit the SAS Hackathon homepage.
Register today!