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

TL;DR

This paper presents an integrated system combining LoRa wireless sensor networks and unmanned aerial vehicles for efficient agricultural monitoring, enabling better decision-making for irrigation, pest control, and fertilization.

Contribution

It introduces a novel experimental model that combines sensor networks and UAVs for comprehensive crop monitoring in Vietnam's agriculture.

Findings

System demonstrated stable and reliable data collection.

Field experiments confirmed system's effectiveness in monitoring weather, soil, and plant health.

Enhanced decision-making for crop management was achieved.

Abstract

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.