Artificial Intelligence‐Driven Robotic Sensing System for Noninvasive Crop Health Monitoring and Autonomous Irrigation Management
This study introduces an artificial intelligence (AI)‐driven robotic system utilizing a 3D‐printed electrophysiological (EP) sensor for noninvasive, real‐time monitoring of plant health signals across different irrigation levels, highlighting the crucial role of these technologies in enhancing smart...
Saved in:
Main Authors: | Yiting Chen, Yan Sum Yip, Hieu T. Tran, Soomin Shin, Woo Soo Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2025-07-01
|
Series: | Advanced Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1002/aisy.202500198 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Precision irrigation with AI-driven optimization of plant electrophysiology
by: Yiting Chen, et al.
Published: (2025-12-01) -
Multi‐material Electrohydrodynamic Printing of Bioelectronics with Sub‐Microscale 3D Gold Pillars for In Vitro Extra‐ and Intra‐Cellular Electrophysiological Recordings
by: Bingsong Gu, et al.
Published: (2025-03-01) -
Bioelectricity : a quantitative approach /
by: Plonsey, Robert
Published: (1988) -
Bioelectric phenomena /
by: Plonsey, Robert
Published: (1969) -
SOURCES OF THE ELECTROPHYSIOLOGY AND ELECTROCARDIOGRAPHY
by: F. F. Tetenev, et al.
Published: (2014-06-01)