Our Sponsors

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.

GA cotton commission seal

Georgia Cotton Commission

Georgia peanut commission logo

Georgia Peanut Commission

USDA NIFA logo

USDA NIFA SCRI

NSF Logo

National Science Foundation

Grants

2008-2012

Advancing Blueberry Production Efficiency by Enabling Mechanical Harvest, Improving Fruit Quality and Safety, and Managing Emerging Diseases.

2009

A High Resolution Optical Approach for Single Cotton Fiber Quality Characterization.

2011

Categorize and Differentiate Trash Types in Cotton Using Hyper-Spectral Imaging (HSI) Technology.

2012

Improving Blueberry Mechanical Harvest Efficiency: Quantifying With Blueberry Impact Recording Device (BIRD) and Develop Deceleration Apparatus To Reduce Soft Berries In Machine Harvested Blueberries

2014-2019

Scale Neutral Harvest Aid System and Sensor Technologies to Improve Harvest Efficiency and Handling of Fresh Market Highbush Blueberries

2017-2020

Robot-assisted Field-based High Throughput Plant Phenotyping

2019-2021

GCR: Accelerating Progress Toward Intrinsic Genetic Solutions to Sustainable Agricultural Intensification

2021-2022

Evaluation and Development of High-Throughput Phenotyping Technologies for Peanut

2022

Cotton Flowering Time High Throughput Phenotyping with an Autonomous Robotic Platform

2022-2026

Genetic dissection of yield-related traits enabled by high throughput phenotyping and whole genome sequencing of a peanut MAGIC population.