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Robotic Sensing and Stimuli Provision for Guided Plant Growth
Published on: July 1, 2019
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In situ foliar augmentation of multiple species for optical phenotyping and bioengineering using soft robotics
Mehmet Mert İlman1,2, Annika Huber3, Anand K Mishra1
1Sibley School of Aerospace and Mechanical Engineering, Cornell University, Ithaca, NY 14853, USA.
Science Robotics
|June 11, 2025
Summary
A novel robotic leaf gripper enables precise, nondestructive delivery of probes for plant phenotyping. This technology enhances gene engineering and water stress monitoring in crops like sunflower and cotton.
Area of Science:
- Agricultural Robotics
- Plant Bioengineering
- Precision Agriculture
Background:
- Precision agriculture seeks to optimize crop yields and reduce chemical inputs.
- Current phenotyping methods are limited by sensor quality and destructive sampling.
- In vivo automated probe delivery can reveal advanced plant phenotypes.
Purpose of the Study:
- To develop a soft robotic leaf gripper for improved foliar delivery of nanoscale probes.
- To enable nondestructive, in situ, and multispecies applications for plant analysis.
- To advance in vivo phenotyping for applications in plant bioengineering and stress monitoring.
Main Methods:
- A novel hourglass-shaped soft robotic leaf gripper was designed for high-force, low-expansion gripping.
- A stamping-injection method was employed for foliar delivery of probes.
- Two probes were utilized: Agrobacterium tumefaciens with the RUBY gene and nanoparticle hydrogels for water potential measurement.
Main Results:
- The gripper achieved over 91% injection success rate.
- Infiltration areas increased 12-fold compared to needle-free syringe methods.
- Leaf damage was minimal (3.6% in sunflower, none in cotton).
Conclusions:
- The robotic leaf gripper facilitates safe, precise, and efficient foliar delivery of probes.
- This technology supports long-term in vivo phenotyping for plant bioengineering.
- The method shows significant potential for advancing precision agriculture and crop improvement.

