Collaborative Solutions for Fruit Management

UF Faculty: Andrea Ramírez-Salgado Department: School of Teaching & Learning College: College of Education	UF Faculty: Swarup Bhunia Department: Electrical and Computer Engineering College: Herbert Wertheim College of Engineering	UF Faculty: Rohan Kalavakonda Department: Electrical and Computer Engineering College: Herbert Wertheim College of Engineering	UF Faculty: Atri Chatterjee Department: Electrical and Computer Engineering College: Herbert Wertheim College of Engineering	Partner Faculty: Nadia Rosero Department: Department of Industrial Engineering and Sustainability Partner Institution: Universidad Icesi

Project details
Title:	Madurometer, Collaborative Solutions for Fruit Management
Project Description:	Food collection centers face great challenges in selecting the level of food maturity to determine relevant actions according to the case. In this virtual exchange or international collaborative learning project between Universidad Icesi (Colombia) and the University of Florida (USA) students from both universities will evaluate the problem and propose solutions supported by technological tools. First, students will develop an activity to determine the maturity level of a banana tree using IoT and Machine Learning. Afterwards, there will be an exchange of ideas to determine actions according to each maturity level. Icesi students will propose a project taking into account the ideas of UF students. The final result will be reported in a video that will be shared in both universities.
Learning Outcomes:	Programming Circuit implementation IoT Real-life industry applications
Participating Countries:	Colombia
Number of Participants:	22 UF students; 23 Icesi students
Discipline:	Engineering
UF Course Code & Name:	EGN1935 - Special Topics in Freshman Engineering: Adventures in ECE Design
Project Duration:	12 weeks
Activity Type(s):	Student-to-Student Dialogue
Technology Tools:	Synchronously - Teams or Zoom Asynchronously - Email, Google Drive Folders, Jamboards, etc.
Sequence of Activities:	Icebreaker Activity: Dedicate the first 10 minutes for them to add their interests and expectations about the project in a whiteboard and we will randomly select the ones who will present their expectations with the group. Engagement Activity: Students at Icesi will explain the purpose of their project and how the IoT application might enhance their solution (presenting the problem). Then, students from both institutions will brainstorm possible solutions using the IoT sensors nd the machine learning algorithms (the solution). Collaboration Activity: 12^th September: Students at Icesi will provide a short video explaining some problems presented at Cavasa (Food collection center of Cali, Colombia) and 4 ideas of processes that can be done depending on the ripeness level of bananas. 14^th September: UF students will provide a short video with feedback and brainstorming ideas for enriching Icesi projects. 10^th October: Activity for determining ripeness level of a banana will be done in both universities. 24^th October: A short report of project advances from Icesi will be sent to UF students. 26^th October: UF students send feedback. 21^st November: Final presentation of Icesi projects. They send videos for UF. 28^th November: UF students share videos with their thoughts, ideas, and potential future recommendations. Reflection Activity: At the end of the Icesi-timed semester, students will present their final proposal (format and times TBD) to the UF students and they will back up with their thoughts, ideas, and potential future recommendations.