Our research goal is to design and utilize robust robotic platforms and cutting edge computer vision and machine learning methods to tackle agricultural challenges, and work to build a more sustainable future. This work would not be possible without financial support. With continued support BSAIL and its collaborators can continue to grow and develop engineering solutions for today and tomorrow’s biggest agricultural challenges.

USDA NIFA Specialty Crop Research Initiative (2019-2023)
VacciniumCAP: Leveraging genetic and genomic resources to enable development of blueberry and cranberry cultivars with improved fruit quality attributes
NSF: Growing Convergent Research (2019-2021)
GCR: Accelerating Progress Toward Intrinsic Genetic Solutions to Sustainable Agricultural Intensification
Cotton Inc/ Georgia Cotton Commission (2018-2020)
Phenotyping Cotton Flowering Time and Boll Mapping Using Ground Proximal Image Sensing
NSF National Robotics Initiative (funded through NIFA) (2017-2020)
Robot-assisted Field-based High Throughput Plant Phenotyping
NSF: Engineering Research Center (2018-2019)
Planning Grant: Engineering Research Center for Materials for Agriculture Resource Imaging Analytics at High Resolution (MARIAH)
USDA NIFA Specialty Crop Research Initiative (2014-2019)
Scale Neutral Harvest Aid System and Sensor Technologies to Improve Harvest Efficiency and Handling of Fresh Market Highbush Blueberries
UGA Presidential Interdisciplinary Research Seed Grant (2017-2018)
Phenomics and Plant Robotics Initiative
USDA NIFA Specialty Crops Research Initiative (SCRI) (2009-2012)
Advancing Onion Postharvest Handling Efficiency and Sustainability by Multimodal Quality Sensing, Disease Control, and Waste Stream Management.  
USDA NIFA Specialty Crops Research Initiative (SCRI) (2008-2012)
Advancing Blueberry Production Efficiency by Enabling Mechanical Harvest, Improving Fruit Quality and Safety, and Managing Emerging Diseases.