Optical characterization of agricultural pest insects: a methodological study in the spectral and time domains

Li, Y. Y.; Zhang, H.; Duan, Zheng; Lian, Ming; Zhao, Guangyu; Sun, Xichao; Hu, Jingjing; Gao, Lin; Feng, Hongqiang; Svanberg, Sune

doi:10.1007/s00340-016-6485-x

Cited by 19 publications

(8 citation statements)

References 16 publications

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“…The data that support the findings of this study are openly available in [ScienceDirect] at https://doi.org/%5B10.1016/j.tree.2011.05.009], (Kleijn et al, ). The data that support the findings of this study are openly available in [SpringerLink] at https://doi.org/%5B10.1007/s00340-016-6485-x], (Li et al, ). The data that support the findings of this study are openly available in [ScienceDirect] at https://doi.org/%5B10.1016/j.biocontrol.2013.06.011], (Lou et al, ).…”

Section: Data Availability Statementsupporting

confidence: 70%

“…The dark‐field technique was employed by the South China Normal University group, which also extended the technique to night‐time field observations, where the insects were illuminated by broad‐band white‐light lamps (Zhu et al, ). Furthermore, insects could be characterized using their wing‐beat frequency and reflectance spectra in laboratory measurements (Li et al, ). A dark‐field insect monitoring system is quite simple and can be assembled using cheap components.…”

Section: Introductionmentioning

confidence: 99%

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Application of lidar remote sensing of insects in agricultural entomology on the Chinese scene

Song

Zhang

Feng

et al. 2019

J Applied Entomology

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Insect pest management is a very important aspect for plant protection in crops production. Remote sensing provides a large number of techniques that are beneficial in entomological research. Although entomological radars have been used for studying migrations of insects for many years, most of entomological radar studies have been vertically tracing high‐altitude migration behaviour of insects. Light detection and ranging (lidar) is a counterpart to radar, now operating in the optical part of the electromagnetic spectrum, which has been recently applied for monitoring of insects at low altitude. Such techniques, in particular low‐cost continuous‐wave (CW) bi‐static systems based on the Scheimpflug arrangement, have been rapidly developing during the last decade. As a result, optical methods present new and fascinating possibilities. Based on experience from a 2‐week field campaign in rice paddy fields, we here present an overview of lidar remote sensing applied to the Chinese scene. The capability of a CW Scheimpflug lidar system in monitoring the insects was studied. We present results on insect abundance in relation to time of the day and weather conditions. We also identified insect species by analysing wing‐beat frequencies and studied their attraction to ultraviolet (UV) lamp located close to the horizontal laser sampling path during night time. Results showed that the insect species were abundant, that insects detected by the lidar system were attracted to light and that light rain increased the insect activity. The lidar detection system had a high read‐out frequency, enabling the estimation of insect wing‐beat frequencies.

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Section: Data Availability Statementsupporting

confidence: 70%

Section: Introductionmentioning

confidence: 99%

Application of lidar remote sensing of insects in agricultural entomology on the Chinese scene

Song

Zhang

Feng

et al. 2019

J Applied Entomology

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“…Reflectance, fluorescence, and wing‐beat frequencies of well‐defined insects can be performed in a laboratory setting in preparation for field experiments. Figure shows examples from such work for three maize pest insects, for which reflectance and fluorescence dorsal and ventral spectra were recorded for male as well as female specimen …”

Section: Laboratory Studies and Automated Trapsmentioning

confidence: 99%

Photonic Monitoring of Atmospheric and Aquatic Fauna

Brydegaard

Svanberg

2018

Laser & Photonics Reviews

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Flying insects are of utmost importance in ecology and for human living conditions. Certain species serve as indispensable pollinators to ensure the availability of food stuffs, while others are dangerous vectors for spreading deadly diseases, such as malaria. Agricultural pests reduce the yield of crops, and their abatement through pesticides cause many additional problems. Birds and bats are frequently carriers of diseases, which, especially for long‐distance migrants, cause serious consequences. Clearly, there is high motivation to be able to effectively identify and quantify flying fauna. Here, the emerging field of optics and laser‐based monitoring of flying fauna is reviewed with an emphasis on remote sensing based on pulsed and contineous wave (CW) lidar systems, and how they complement existing radar techniques. Furthermore, ground‐truth laboratory studies are covered. Wing‐beat and overtone spectra as well as reflectance, depolarization and fluorescence properties are studied. The aquatic environment is for many reasons less accessible for optical studies, but is clearly also of great importance. Phytoplankton constitute the start of the aquatic food chain, followed by zooplankton and a long chain of higher animals, including fish, an important part of the human food supply. Finally, how optical monitoring can complement sonar and sampling techniques is discussed.

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“…Similar dark-field work employing sunlight, but also an artificial lamp at night time, was reported in [ 12 ] for the case of Chinese agricultural pests. Laboratory-controlled studies on released insects gave detailed information on the reflectance spectra of certain pests, and corresponding fluorescence spectra were also recorded [ 13 ]. Later, full multi-spectral reflection imaging of insects using an imaging spectrometer was also accomplished; see, e.g., [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Identification of Flying Insects in the Spatial, Spectral, and Time Domains with Focus on Mosquito Imaging

Sun

Lin

Zhao

et al. 2021

Sensors

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Insects constitute a very important part of the global ecosystem and include pollinators, disease vectors, and agricultural pests, all with pivotal influence on society. Monitoring and control of such insects has high priority, and automatic systems are highly desirable. While capture and analysis by biologists constitute the gold standard in insect identification, optical and laser techniques have the potential for high-speed detection and automatic identification based on shape, spectroscopic properties such as reflectance and fluorescence, as well as wing-beat frequency analysis. The present paper discusses these approaches, and in particular presents a novel method for automatic identification of mosquitos based on image analysis, as the insects enter a trap based on a combination of chemical and suction attraction. Details of the analysis procedure are presented, and selectivity is discussed. An accuracy of 93% is achieved by our proposed method from a data set containing 122 insect images (mosquitoes and bees). As a powerful and cost-effective method, we finally propose the combination of imaging and wing-beat frequency analysis in an integrated instrument.

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Optical characterization of agricultural pest insects: a methodological study in the spectral and time domains

Cited by 19 publications

References 16 publications

Application of lidar remote sensing of insects in agricultural entomology on the Chinese scene

Application of lidar remote sensing of insects in agricultural entomology on the Chinese scene

Photonic Monitoring of Atmospheric and Aquatic Fauna

Identification of Flying Insects in the Spatial, Spectral, and Time Domains with Focus on Mosquito Imaging

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