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Precision agriculture enables refined and individualized crop and livestock management with high spatiotemporal resolution. Conventional sensors are effective at population-level monitoring, but fail to effectively capture individual physiological and behavioral variations. Through miniaturized and flexible designs, agricultural wearable sensors can be directly attached to individual plant or animal for continuous acquisition of growth, physiological, and environmental data. Based on a systematic analysis of monitored parameters, structural designs, and application scenarios, this review summarizes recent advances of agricultural wearable sensors over the past five years in plant dynamic monitoring, water and nutrient assessment, and animal behavior and health tracking as well as related applications. Key challenges are identified, including limitations in multi-parameter integration, insufficient stability in materials and power supply, and lack of long-term reliability and standardization. Future perspectives emphasize the importance of multi-source data fusion, self-powered design, and secure data management in advancing precision agriculture.
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Basic Information:
China Classification Code:S127;TP212
Citation Information:
[1]LI Hongwei,YU Fenghua,ZHANG Long ,et al.Agricultural Wearable Sensors: A Review of Comparison, Classification and Application[J].Journal of Shenyang Agricultural University,2026,57(02):171-180.
Fund Information:
国家自然科学基金青年项目(32201652); 北京邮电大学技术服务合同项目(H2024340)
2026-04-15
2026-04-15