Zobrazeno 1 - 10
of 496
pro vyhledávání: '"pest monitoring"'
Publikováno v:
Conservation, Vol 4, Iss 2, Pp 288-306 (2024)
Predicting the willingness of people to engage in passive surveillance is crucial to the success of community-based efforts to manage invasive species and conserve native biodiversity. We draw on the marketing concept of involvement, which reflects t
Externí odkaz:
https://doaj.org/article/60ca0410a54845cca3a37bf6449edc75
Autor:
Song-Quan Ong, Toke Thomas Høye
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110741- (2024)
The sticky trap is probably the most cost-effective tool for catching insect pests, but the identification and counting of insects on sticky traps is very labour-intensive. When investigating the automatic identification and counting of pests on stic
Externí odkaz:
https://doaj.org/article/e5c1f9090ea64a57b933199a505a91a7
Publikováno v:
Agriculture, Vol 14, Iss 7, p 1136 (2024)
Tadpole shrimp (Triops longicaudatus) has become a major pest for California rice farmers. Currently, management relies solely on the insecticide lambda-cyhalothrin. However, resistance to this pyrethroid was confirmed in 2016; thus, identifying an e
Externí odkaz:
https://doaj.org/article/4424be5ed2b145448281679f54dbebe4
Autor:
Mikio Kamei
Publikováno v:
Smart Agricultural Technology, Vol 6, Iss , Pp 100372- (2023)
Deep learning approaches facilitate the rapid and accurate identification of insect pest species in agriculture. However, challenges arise when detecting tiny pests, such as whiteflies (Hemiptera: Aleyrodidae). Although high-resolution images are pre
Externí odkaz:
https://doaj.org/article/bf811901b404431cbd085ec0e416429d
Autor:
Florence Lello, Mussa Dida, Mbazingwa Mkiramweni, Joseph Matiko, Roseline Akol, Mary Nsabagwa, Andrew Katumba
Publikováno v:
Smart Agricultural Technology, Vol 5, Iss , Pp 100294- (2023)
Fruit flies affect the production and market of fresh fruits and vegetables worldwide. To minimize their effects, integrated pest management (IPM) strategies are needed. However, the adopted IPM strategies involve human operators who manually monitor
Externí odkaz:
https://doaj.org/article/682a920e0c2b4018a66cceb74b5337d8
Autor:
Gabriella Silva de Gregori, Elisângela de Souza Loureiro, Luis Gustavo Amorim Pessoa, Gileno Brito de Azevedo, Glauce Taís de Oliveira Sousa Azevedo, Dthenifer Cordeiro Santana, Izabela Cristina de Oliveira, João Lucas Gouveia de Oliveira, Larissa Pereira Ribeiro Teodoro, Fábio Henrique Rojo Baio, Carlos Antonio da Silva Junior, Paulo Eduardo Teodoro, Luciano Shozo Shiratsuchi
Publikováno v:
Remote Sensing, Vol 15, Iss 24, p 5657 (2023)
Assessing different levels of red gum lerp psyllid (Glycaspis brimblecombei) can influence the hyperspectral reflectance of leaves in different ways due to changes in chlorophyll. In order to classify these levels, the use of machine learning (ML) al
Externí odkaz:
https://doaj.org/article/329b1aaf1dac4cf0a304cfe558ead7c1
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Publikováno v:
Frontiers of Agricultural Science and Engineering, Vol 9, Iss 1, Pp 19-36 (2022)
● Crop pests are a major factor restricting agricultural production in China. ● The National Monitoring and Early Warning System (NMEWS) was established > 40 years ago. ● Application of NMEWS has increased national capability to tackle pests. T
Externí odkaz:
https://doaj.org/article/3068bdbd176445aa85069f1f0ad338cd