Skip to main content

Congratulations to Hayden Menge for Accepting a Position at Amazon!

February 24, 2022

Congratulations to UF’s graduating class of Spring 2021! The MLSL would like to recognize our very own undergraduate researcher, Hayden Menge!  It was a great pleasure having you in the Gatorsense lab. Some of Hayden’s milestones achievements in our lab was training UNet segmentation model on new plant root data. In addition to feature extraction […]

Read more: Congratulations to Hayden Menge for Accepting a Position at Amazon! »

Computer vision for assessing species color pattern variation from web-based community science images

February 18, 2022

Abstract: Openly available community science digital vouchers provide a wealth of data to study phenotypic change across space and time. However, extracting phenotypic data from these resources requires significant human effort. Here, we demonstrate a workflow and computer vision model for automatically categorizing species color pattern from community science images. Our work is focused on […]

Read more: Computer vision for assessing species color pattern variation from web-based community science images »

Welcome New Undergraduate Research Assistant Melissa Uriguen!

February 4, 2022

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Melissa Uriguen! Melissa is a fourth year environmental engineering student and will be assisting Professor Alina Zare on the AI-Harvest project. You can also connect with Melissa on LinkedIn. Welcome to our lab, Melissa!

Read more: Welcome New Undergraduate Research Assistant Melissa Uriguen! »

Welcome New Undergraduate Research Assistant Rosario Firmino!

February 4, 2022

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Rosario Firmino! Rosario is pursuing a Bachelors degree in Computer Science with Minor in Mathematics. He will be working on the AI Harvest project under Professor Alina Zare and Professor Lincoln Zotarelli. In his free time he enjoys playing tennis, making […]

Read more: Welcome New Undergraduate Research Assistant Rosario Firmino! »

Welcome New Undergraduate Research Assistant Collin Granko!

January 29, 2022

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Collin Granko! Collin is a Third year Data Science major at UF. Outside of academics, He enjoys hiking and surfing. Welcome to our lab, Collin!

Read more: Welcome New Undergraduate Research Assistant Collin Granko! »

Welcome New Undergraduate Research Assistant Cameron Thomas!

January 29, 2022

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Cameron Thomas! Cameron is a third year student studying electrical engineering at the UF department of electrical and computer engineering. She is part of the AI MESH team in our lab where she’s working on data entry and crop yield analysis. […]

Read more: Welcome New Undergraduate Research Assistant Cameron Thomas! »

Welcome New Master’s Student Ayesha Naikodi!

January 29, 2022

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Ayesha Naikodi! Ayesha received a Master’s degree in Computer Engineering in 2019 and worked in the industry as an Embedded Software Engineer before deciding to get on the Machine Learning bandwagon. Ayesha is now pursuing a Master’s degree in Computer Science […]

Read more: Welcome New Master’s Student Ayesha Naikodi! »

Welcome New Master’s Student Satya Krishna Pothapragada!

January 28, 2022

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Satya Krishna Pothapragada! Satya Krishna is pursuing his masters in ECE at UF and he’ll be working with Professor Alina Zare on an interdisciplinary project which stretches across Machine Learning and Agriculture. You can also connect with Satya Krishna on LinkedIn. […]

Read more: Welcome New Master’s Student Satya Krishna Pothapragada! »

PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study

January 19, 2022

Abstract: Understanding a plant’s root system architecture (RSA) is crucial for a variety of plant science problem domains including sustainability and climate adaptation. Minirhizotron (MR) technology is a widely-used approach for phenotyping RSA non-destructively by capturing root imagery over time. Precisely segmenting roots from the soil in MR imagery is a critical step in studying […]

Read more: PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study »

PRMI accepted to AI for Agriculture and Food Systems (AIAFS), 2022!

January 19, 2022

Congratulations to our labmates and collaborators: Weihuang Xu, Guohao Yu, Yiming Cui, Romain Gloaguen, Alina Zare, Jason Bonnette, Joel Reyes-Cabrera, Ashish Rajurkar, Diane Rowland, Roser Matamala, Julie D. Jastrow, Thomas E. Juenger, Felix B. Fritschi! Their paper, “PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study”, was recently accepted to AI for Agriculture […]

Read more: PRMI accepted to AI for Agriculture and Food Systems (AIAFS), 2022! »