基于人工智能的作物健康监测与自主灌溉管理机器人传感系统

IF 6.1 Q1 AUTOMATION & CONTROL SYSTEMS

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-07-22 DOI:10.1002/aisy.70071

Yiting Chen, Yan Sum Yip, Hieu T. Tran, Soomin Shin, Woo Soo Kim

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引用次数: 0

摘要

西蒙弗雷泽大学（Simon Fraser University）的woo Soo Kim研究团队开发了一种人工智能驱动的非侵入式传感机器人，该机器人利用3d打印植物传感器发出的电信号，直接监测植物的健康状况和植物叶片对水的需求。这项创新技术优化了资源利用，提高了作物产量，推进了可持续室内农业，为全球智能、资源节约型农业铺平了道路。详情见第2500198号商品。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Artificial Intelligence-Driven Robotic Sensing System for Noninvasive Crop Health Monitoring and Autonomous Irrigation Management

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Artificial Intelligence-Driven Robotic Sensing System for Noninvasive Crop Health Monitoring and Autonomous Irrigation Management

Artificial Intelligence-Driven Robotic Sensing System

Woo Soo Kim’s research team at Simon Fraser University has developed an AI-powered, non-invasive sensing robot that directly monitors plant health and water needs from plant leaves using electrical signals from 3D-printed plant sensors. This innovative technology optimizes resource use, enhances crop yields, and advances sustainable indoor farming, paving the way for smart, resource-efficient agriculture globally. More details can be found in article number 2500198.

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来源期刊

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)

CiteScore

1.30

自引率

0.00%

发文量

审稿时长

4 weeks