LoRa让农田无线通信更远更省电,助力智慧农业落地。
LoRa Communication for Agriculture 4.0: Opportunities, Challenges, and Future Directions

- 用LoRa构建适应农田环境的低功耗广域网,优化物理层和组网设计。
- 实测显示其在1.5公里外仍可稳定传输数据,适合大面积农田覆盖。
- 适合农业物联网开发者、科研人员及智慧农场建设者参考。
智能农业借助物联网(IoT)技术革新传统农法。本文系统研究长距离(LoRa)技术作为农业物联网中远距离无线通信的关键使能技术。通过综述现有文献,识别出当前对LoRa在智慧农业中通信层面前景与挑战的研究空白。深入探讨基于LoRa的农业网络架构设计、针对农田环境优化的物理层(PHY)特性,以及考虑土壤特性的信道建模方法。研究了中继与路由机制,以应对广阔农田中网络覆盖扩展与数据传输优化的难题。进一步讨论传感器部署策略与能量管理技术,为实际应用提供指导。对比分析了LoRa与其他农业物联网常用无线技术的性能,明确其优劣势。最后提出未来研究方向:面向多样农业场景的信道建模改进、新型中继路由算法、融合高光谱成像与无人机传感等新兴传感器技术、设备端人工智能模型部署,以及可持续解决方案。本综述可引导研究人员、技术开发者与从业者理解、实施并推动基于LoRa的农业4.0发展。
原文摘要 · Abstract (English)
The emerging field of smart agriculture leverages the Internet of Things (IoT) to revolutionize farming practices. This paper investigates the transformative potential of Long Range (LoRa) technology as a key enabler of long-range wireless communication for agricultural IoT systems. By reviewing existing literature, we identify a gap in research specifically focused on LoRa's prospects and challenges from a communication perspective in smart agriculture. We delve into the details of LoRa-based agricultural networks, covering network architecture design, Physical Layer (PHY) considerations tailored to the agricultural environment, and channel modeling techniques that account for soil characteristics. The paper further explores relaying and routing mechanisms that address the challenges of extending network coverage and optimizing data transmission in vast agricultural landscapes. Transitioning to practical aspects, we discuss sensor deployment strategies and energy management techniques, offering insights for real-world deployments. A comparative analysis of LoRa with other wireless communication technologies employed in agricultural IoT applications highlights its strengths and weaknesses in this context. Furthermore, the paper outlines several future research directions to leverage the potential of LoRa-based agriculture 4.0. These include advancements in channel modeling for diverse farming environments, novel relay routing algorithms, integrating emerging sensor technologies like hyper-spectral imaging and drone-based sensing, on-device Artificial Intelligence (AI) models, and sustainable solutions. This survey can guide researchers, technologists, and practitioners to understand, implement, and propel smart agriculture initiatives using LoRa technology.
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