Plant‐Wearable Sensors for Intelligent Forestry Monitoring
Yifei Li, Haoyan Xu, Chuanlong Han, Yuan Bai, Yuliang Wang, Haipeng Yu, Wenlong Song, Zhuangzhi Sun
Abstract
Abstract Flexible plant‐wearable sensors show great potential for precise and intelligent monitoring of real‐time physical and chemical signals in forestry seedlings to optimize their growth environment, increase carbon sequestration, and promote underforest ecosystems. Furthermore, plant‐wearable sensors can help prevent threats such as forest ecological deterioration, forest diseases, and insect pests. Herein, recent advances in emerging plant‐wearable sensors used in forestry for applications including the monitoring of plant physiological metabolism and plant growth in seedling cultivation, early warning of forest pest and disease, prevention and warning of forest fire, and growing environment monitoring of trees are reviewed. Typical sensing technologies, designs, structural compositions, and sensing principles of emerging plant wearables are highlighted. Current technical bottlenecks of wireless growth monitoring system and self‐powered energy supply strategies are also discussed in terms of their practical application. Finally, the research directions and challenges of flexible plant wearables in intelligent forestry monitoring are explored in detail.