UIUC’s ABE MS unites machine learning, synthetic biology, and environmental modeling to modernize agri-food and bio-product systems. Students model watershed nutrient flux, 3-D print mycelium biocomposites, and calibrate autonomous field robots in the Illinois Digital Farm. Collaborations with USDA and Argonne deliver translational research combatting climate change and food insecurity.
Edge-AI weed-recognition model on solar-powered robots
Fluid-dynamic simulation of anaerobic digester gas mixing
CRISPR-edited algae bioreactor design for omega-3 production
Hydrologic model assessing buffer-strip nitrate removal
Life-cycle assessment of insect-protein bioplastic packaging
UAV LiDAR canopy density estimation for variable-rate spraying
Fermentation kinetics optimization using genetic algorithms
Policy brief on digital-ag data ownership frameworks
Digital twin of greenhouse integrating IoT sensor fusion
Techno-economic analysis of cellulosic ethanol co-products
Sensor network predicting drought stress via plant acoustics
Machine-vision grading system for specialty crops
Grant proposal for blockchain-enabled carbon farming credits
Vertical-farm nutrient solution closed-loop control model
Bio-inspired microfluidic irrigation emitters design
Educational VR module on circular bio-economy concepts
Podcast interviewing global innovators in climate-smart ag
Engineer sustainable bio-solutions with UIUC ABE.
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