Precision Agriculture Experts
Projects
FACT: FreshID-Machine Learning for the Molecular Evaluation of Fresh Produce Quality
T LiuSiTS: Hyperspectral Signals in the Soil
Alina ZareOR-DRD-AI2020: Parasitic Nematode Identification with Deep Learning
Alina ZareTesting Predictions of Plant-Microbe- Environment Interactions to Optimize Climate Adaptation and Improve Sustainability in Switchgrass Feedstocks
T JuengerNSF Engineering Research Center for the Internet of Things for Precision Agriculture (IoT4Ag)
Cherie Kagan (U Penn)FreshID: Fruits and Vegetables Quality Evaluation Using Hyperspectral Imaging System
T LiuSatellite estimation of Bahiagrass yield and crude protein
C WilsonMRA: Disentangling Cross-scale Influences on Tree Species, Traits and Diversity from Individual Trees to Continental Scales
E WhiteSENTINEL: SENsing Threats In Natural Environments using Ligand-receptor modules
Alina ZareImproved System Assessment of Aflatoxin Risk Utilizing Novel Data and Sensing
Diane RowlandCoordinated Adaptive Phenotyping (CAPs) for Improving Soil Water Acquisition
B TillmanRays for Roots Integrating Backscatter X-Ray Phenotyping, Modeling, and Genetics to Increase Carbon Sequestration and Switchgrass Resource Use Efficiency
Alina ZareMulti-sensor fusion for Buried Object Detection
Alina ZareClimate Adaptation and Sustainability in Switchgrass: Exploring Plant-Microbe-Soil Interactions across Continental Scale Environmental Gradients
T Juenger