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   @macomeza   @Secohan @abmendez  Social media handles  Luis Rodrigo CCastellanos  Siti Khotijah Nebiyu Talefe Marco Meza Abmendez RCuevas Is your team interested in participating in an interview? Y Optional: Expand on your technology expertise             Pitch Video:   Jury Video:   ... View more