Advances in automatic identification of flying insects using optical sensors and machine learning
Abstract 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 enemies of pests. In order to target pesticides to pests only, farmers must know exactly where and when pests and b...
Guardado en:
Autores principales: | Carsten Kirkeby, Klas Rydhmer, Samantha M. Cook, Alfred Strand, Martin T. Torrance, Jennifer L. Swain, Jord Prangsma, Andreas Johnen, Mikkel Jensen, Mikkel Brydegaard, Kaare Græsbøll |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/2e1c22a8f9124d7e81390cef1dddfb73 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Real-time dispersal of malaria vectors in rural Africa monitored with lidar.
por: Samuel Jansson, et al.
Publicado: (2021) -
Distribution of flying insects across landscapes with intensive agriculture in temperate areas
por: C.J.M. Musters, et al.
Publicado: (2021) -
Transforming insect population control with precision guided sterile males with demonstration in flies
por: Nikolay P. Kandul, et al.
Publicado: (2019) -
African swine fever virus – the possible role of flies and other insects in virus transmission
por: Fila Mateusz, et al.
Publicado: (2020) -
Continuous monitoring of aerial density and circadian rhythms of flying insects in a semi-urban environment.
por: Adrien P Genoud, et al.
Publicado: (2021)