Real-Time Remote Sensing of the Lobesia botrana Moth Using a Wireless Acoustic Detection Sensor

Gabriel Hermosilla,Carolina Yáñez,David Castro,Francisco Santibanez,Sebastián Fingerhuth,Nelson Baker,Francisco Lazcano,Francisco Pizarro

doi:10.3390/app112411889

Gabriel Hermosilla, Carolina Yáñez + Show 6 more

Open Access

https://doi.org/10.3390/app112411889

Copy DOI

Abstract

This article presents a wireless sensor for pest detection, specifically the Lobesia botrana moth or vineyard moth. The wireless sensor consists of an acoustic-based detection of the sound generated by a flying Lobesia botrana moth. Once a Lobesia botrana moth is detected, the information about the time, geographical location of the sensor and the number of detection events is sent to a server that gathers the detection statistics in real-time. To detect the Lobesia botrana, its acoustic signal was previously characterized in a controlled environment, obtaining its power spectral density for the acoustic filter design. The sensor is tested in a controlled laboratory environment where the detection of the flying moths is successfully achieved in the presence of all types of environmental noises. Finally, the sensor is installed on a vineyard in a region where the moth has already been detected. The device is able to detect flying Lobesia botrana moths during its flying period, giving results that agree with traditional field traps.

Highlights

In the last years, sustainable and smart agriculture has been an important issue in worldwide research
The Food and Agriculture Organization (FAO) defines on its perspectives for the year 2030 that the use of technologies such as integrated pest and nutrient management, conservation agriculture and organic agriculture could contribute to making agriculture more sustainable [1]
From the several methods proposed in the literature for pest detection, an acousticbased detection method was chosen to be implemented on a wireless sensor

Summary

Introduction

Sustainable and smart agriculture has been an important issue in worldwide research. When we talk about sustainability and the optimization of resources, pest management is one of the critical issues On this perspective, the use of technology to detect and control pests will play an important role at the time of pesticide applications, reducing its indiscriminate use and, in that way, reducing the negative environmental and health effects [1,6]. The use of technology to detect and control pests will play an important role at the time of pesticide applications, reducing its indiscriminate use and, in that way, reducing the negative environmental and health effects [1,6] This has led to many studies that use different technologies in order to identify insects or to achieve an early detection of a possible pest in different fruit and vegetables [7,8]. The Chilean government has placed smart agriculture under its priority foci of development through a smart industry program [9] for the years between 2017 and 2025

Objectives

Methods

Results

Conclusion