Advances in automatic identification of flying insects using optical sensors and machine learning
Worldwide, farmers use insecticides to prevent crop damage caused by insect pests, while
they also rely on insect pollinators to enhance crop yield and other insect as natural …
they also rely on insect pollinators to enhance crop yield and other insect as natural …
A comparison of supervised machine learning algorithms for mosquito identification from backscattered optical signals
The surveillance of mosquito populations is paramount in the fight against mosquito-borne
diseases that affect millions of people every year. Evaluating the efficiency of mitigation …
diseases that affect millions of people every year. Evaluating the efficiency of mitigation …
The Scheimpflug lidar method
The recent several years we developed the Scheimpflug lidar method. We combined an
invention from the 19 th century with modern optoelectronics such as diode lasers and …
invention from the 19 th century with modern optoelectronics such as diode lasers and …
Potential for identification of wild night-flying moths by remote infrared microscopy
There are hundreds of thousands of moth species with crucial ecological roles that are often
obscured by their nocturnal lifestyles. The pigmentation and appearance of moths are …
obscured by their nocturnal lifestyles. The pigmentation and appearance of moths are …
Detection of insects in class-imbalanced lidar field measurements
In recent years, lidar-based remote sensing has gained popularity in entomological studies
due to its ability to non-invasively sense insects in their natural habitat. However, previous …
due to its ability to non-invasively sense insects in their natural habitat. However, previous …
Overwater light-sheet Scheimpflug lidar system for an underwater three-dimensional profile bathymetry
The feasibility of an overwater light-sheet Scheimpflug lidar system for underwater three-
dimensional (3D) profiling is considered. Corrections for the refraction at the air-water …
dimensional (3D) profiling is considered. Corrections for the refraction at the air-water …
Automated insect recognition in unlabeled lidar field measurements
HB Madsen, TC Vannoy, EM Rehbein… - Laser Radar …, 2022 - spiedigitallibrary.org
In recent years, lidar-based remote sensing has been used for detecting and classifying
flying insects, which is based upon the fact that oscillating wings produce a modulated return …
flying insects, which is based upon the fact that oscillating wings produce a modulated return …
[PDF][PDF] Coherent Backscattering from Free-Flying Insects: Implications for Remote Species Identification
M Li - 2024 - portal.research.lu.se
The alarming decline in global insect populations and diversity calls for improved monitoring
methods with species specificity. Conventional trapping techniques are labor-intensive and …
methods with species specificity. Conventional trapping techniques are labor-intensive and …
Toward a hardware implementation of lidar-based real-time insect detection
Real-time monitoring of insects has important applications in entomology, such as managing
agricultural pests and monitoring species populations—which are rapidly declining …
agricultural pests and monitoring species populations—which are rapidly declining …
[引用][C] Oil classification research by a hyperspectral Scheimpflug lidar system
K Chen, C Yan - 2018 Asia Communications and Photonics …, 2018 - ieeexplore.ieee.org
Oil classification research by a hyperspectral Scheimpflug lidar system Page 1 XXX-X-XXXX-XXXX-X/XX/$XX.00
©20XX IEEE Oil classification research by a hyperspectral Scheimpflug lidar system Kun …
©20XX IEEE Oil classification research by a hyperspectral Scheimpflug lidar system Kun …