Berry Impact Recording Device
A sensor made to record impacts that occur during machine harvesting and packaging process for blueberries.
Technologies for a sustainable future
We develop innovative sensing and automation technologies for biological and food systems, contributing to providing safe and quality food in an efficient and sustainable way to feed the 9 billion people expected to inhabit our planet by the middle of this century. We strive to be among the most successful and respected in our area of endeavor. Currently, we are investigating in two exciting areas: plant phenotyping and agricultural robotics.
Lab News
- Javier's poster got 2nd place at the Graduate Student Research Poster Contest 2021 organized by the Phenomics and Plants Robotics Center. NEW
- Congratulations to Chenjiao on the 2021 ASABE ITSC Paper Award (June 2021)!
- Javier got Summer Research Grants from the graduate school of UGA. Congratulations!
- Welcome Zhengkun and Yuxuan to join our lab!
- Rui passed his Ph.D. dissertation defense, Congratulations Rui (January 2021)!
- Shrinidhi's paper "Instance Segmentation to Estimate Consumption of Corn Ears by Wild Animals for GMO Preference Tests" has been accepted for publication in Frontiers in Artificial Intelligence. (December 2020) Congratulations!
- Yu's paper "DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field" was recently published in Plant Methods. (December 2020) Congratulations!
- Xueping's paper "Three-dimensional photogrammetry with deep learning instance segmentation to extract berry fruit harvestability traits" has been accepted by ISPRS Journal of Photogrammetry and Remote Sensing (November 2020). Congratulations!
- Congratulations to Jawad on his accepted paper to Electronics (September 2020)!
- Welcome Daniel to join our lab!