Ag-CyPhER

Agricultural - Cyber Physical Systems Engineering Research

Our research focuses on automation technology for facilitating scientific discoveries and advancing production systems in agriculture. Specifically, we leverage sensors, multimodal imaging, machine/deep learning-based predictive models, unmanned ground/aerial vehicles, and robotics to develop reliable, affordable, and efficient tools for plant phenomics and precision farming.

Research Projects

Advancing digital agriculture through imaging, robotics, and AI.

Inventory Management

Nursery Inventory Robot

AI-powered vision-based seedling counting and quality assessment for forest nursery.

Blueberry Yield Prediction

Blueberry Yield Prediction

Smartphone app to detect ripe berries and predict yield.

In-Field Pod Counting

Plant Architecture Phenotyping

Automate lima bean pod counting using robotic multi-view imaging, 3D Gaussian Splatting, and Segment Anything Model.

Drone

Crop Remote Sensing

Aerial phenotyping of morphology and physiology using drone-based hyperspectral imaging and LiDAR.

Our Team

Dr. Yin Bao

Dr. Yin Bao

Assistant Professor

CV

Current Graduate Students

Puranjit Singh

Puranjit Singh

PhD (PLSC, 2023 - Now)

Ashish Reddy M

Ashish Reddy M

PhD (PLSC, 2025 - Now)

Research Assistants

Annamalai Muthupalaniappan

Annamalai Muthupalaniappan

MS (Robotics, 2024 - Now)

Former Graduates

Rafael Bidese

Rafael Bidese

PhD (2019 - 2023)

Corteva Agriscience

Sharif Shabani

Sharif Shabani

MS (2021 - 2023)

Optix Technologies

Mary Beth Cassity

Mary Beth Cassity

MS (2021 - 2023)

Cornell University

Kamand Bagherian

Kamand Bagherian

MS (2020 - 2022)

Qlik

Nariman Niknejad

Nariman Niknejad

MS (2020 - 2022)

Michigan State University (PhD)

Vinika Gupta

Vinika Gupta

MS (2020 - 2021)

Nordstrom

Media

Farm Robotic Challenge 2025: Monitoring Saltwater Intrusion in Coastal Farms Using Drones & Autonomous Robots

SLAM Navigation of Farm-ng Amiga Robot using Mid 360 LiDAR

News & Achievements

  • November 2025 - Tri-Society CANVAS 2025
    Congratulations to Puranjit Singh for securing the 2nd Position in the Precision Agriculture Systems Community PhD Oral Presentation!
  • October 2025 - Delaware Data Science Symposium
    We are proud to announce that Puranjit Singh received the Statewide EPSCoR Best Poster Award, and Ashish Reddy won the Best Student Poster Award in the PhD Category.
  • May 2025 - Farm Robotic Challenge 2025
    The Ag-CyPhER Lab team was honored with the Judges Choice Impact Award.

Key Publications

Lab Equipment

Farm-ng Amiga

Farm-ng Amiga

An advanced agricultural management system.

DJI M350 RTK

DJI M350 RTK

Aerial surveillance and data collection.

Rivulet Micro-Crop Monitor

Rivulet

Robotic platform for center pivot irrigation system.

ZED Box

ZED Box

Powerful industrial AI gateway for field robotics.

NVIDIA Jetson AGX Orin

NVIDIA Jetson AGX Orin

Next-gen AI computing for autonomous machines.

ZED Box Mini

ZED Box Mini

Compact and high performance embedded system for stereo vision processing.

Hyperspectral Camera

Hyperspectral Camera

Cubert X20P Snapshot UV-VIS-NIR Hyperspectral Video Camera.

DJI LiDAR

DJI Zenmuse L2 LiDAR

For more precise, efficient, and reliable geospatial data acquisition.

Livox Mid360 LiDAR

Livox Mid360 LiDAR

Compact and light weight LiDAR for navigation and obstacle avoidance.

ZED X Mini

ZED X Mini Stereo Camera

Compact and precise for depth sensing applications.

Zed X One Camera

Zed X One Camera

Flexible integration and customization of stereo systems.

High Intensity Strobe Light

Stereo Camera - Strobe Lights

High intensity strobe lights for synchronized lighting.

RS3 Reach Emlid RTK GPS

Emlid Reach RS3

RTK GNSS receiver with centimeter accuracy upto 60° tilt.

TDR 350 Soil Probe

TDR350 Soil Probe

Measures Soil Moisture, EC, and Surface Temperature.

Gamma Ray Spectrometer

Gamma Ray Spectrometer

Medusa MS-350 for soil composition analysis.

Contact Us

Address


152 Townsend Hall,
531 South College Avenue,
Newark, DE 19716

Phone


302-831-7136