Expertise

We are interested in in-situ sensor development, remote and proximal sensing, computer vision, machine learning, robotics and their deep integration for solving pressing challenges in agriculture.

Research Interests:

  • Precision Agriculture and Forestry
  • Cyber-Physical Systems
  • Remote and Proximal Sensing
  • Machine Learning
  • Computer Vision and Robotics.

Subject Area(s):

  • Ecological and Water Resources Engineering
    • Ecological Engineering
      • Algal Bloom Prevention
      • Ecological Systems Modeling
      • Climate Variability
      • Low Impact Development
    • Soil & Water Conservation Engineering
      • Aquatic System Engineering
      • Agricultural & Landscape Irrigation
      • Water Quality and Quantity Modeling
      • Erosion & Sedimentation Control
      • Fate & Transport of Nutrients in Environment
      • Watershed Analysis & Management
      • Non-point Source Pollution
      • Nutrient Management & Nutrient Recovery from Wastewater
      • Ecological Waste Treatment
      • Sustainable Water Reuse for Irrigation
  • Smart Systems for Production Ag & Forestry
    • AI-based Imaging Technology for Plant Phenotyping
    • Proximal Soil Moisture Sensing for Precision Irrigation
    • Autonomous Agricultural Robots
    • Precision Agriculture and Forestry
    • Sustainability of Forest Operations
  • Controlled Environment in Agriculture
    • Precision Animal Management
    • Smart Poultry & Livestock Housing Systems
    • Smart Horticulture Greenhouses
    • Recirculating Aquaculture Systems Engineering
    • Water & Energy Conservation in Confined Systems
  • Emerging Systems
    • Ag Systems Modeling & Data Analytics
    • Renewable Energy in Ag Systems
    • Sustainable, Resilience & Circular Ag Systems
    • Climate Smart Ag and Forestry Systems.

Research interests:

The Digital Agriculture Lab focuses on automation technology for facilitating scientific discoveries and advancing production systems in agriculture and forestry. Specifically, Prof. Bao leverages sensors, multimodal imaging, machine/deep learning-based predictive models, unmanned ground/aerial vehicles, and robotics to develop reliable, affordable, and efficient tools for rapid phenotyping and precision farming of crops and livestock.


Research Areas:

  • Robotics and Controls

Faculty Expertise:

  • Spectral Imaging and Machine Vision
  • Unmanned Ground Vehicle
  • Robotic Manipulator
  • Artificial Intelligence
Affiliations

Assistant Professor, Department of Mechanical Engineering, College of Engineering, University of Delaware

Assistant Professor, Department of Plant and Soil Sciences, College of Agriculture and Natural Resources, University of Delaware

Assistant Professor, Department of Biosystems Engineering, Samuel Ginn College of Engineering, Auburn University
2019

Past Affiliations

Postdoctoral Research Associate, Department of Agricultural and Biosystems Engineering, College of Engineering, Iowa State University (past)

PhD Student, Department of Agricultural and Biosystems Engineering, College of Engineering, Iowa State University (past)

Communities
Agricultural Engineering, Environmental Engineering
Degrees
PhD, Iowa State University, Agricultural and Biosystems Engineering, 2018
BE, China Agricultural University, Mechanical Engineering, 2012