NIROJun 20, 2021

Developing system of wireless sensor network and unmaned aerial vehicle for agriculture inspection

arXiv:2107.01008v15 citations
Originality Synthesis-oriented
AI Analysis

This addresses crop monitoring for agricultural growers in Vietnam, but it is incremental as it applies existing technologies to a specific domain.

The paper developed an experimental system combining LoRa wireless sensor networks and unmanned aerial vehicles to monitor agricultural crop fields, collecting data on weather, soil, and plant health to aid decision-making for irrigation, pest treatment, and fertilization, with field experiments demonstrating stability and reliability of the data.

Agricultural production using high technology is an inevitable trend in Vietnam. Especially for material crops which typically need large growing areas, wireless sensor networks has been clearly playing a significant role in increasing productivity, monitoring pests and diseases, mitigating the impact of climate change, and reducing the direct labor of cultivators. This paper constructs an experimental model of agricultural crop field monitoring using a combination of LoRa wireless sensor networks and unmanned aerial vehicles to collect data on conditions of weather and soil, plant health, which helps growers easily making right decisions on solutions for irrigation, pest treatment, and fertilization with the currently planted crops. The system has been developed and experimentized in the field to evaluate some basic features and justified the stability and reliability of the obtained data.

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