Zobrazeno 1 - 10
of 42
pro vyhledávání: '"plant discrimination"'
Publikováno v:
Artificial Intelligence in Agriculture, Vol 10, Iss , Pp 13-25 (2023)
Agriculture 5.0 is an emerging concept where sensors, big data, Internet-of-Things (IoT), robots, and Artificial Intelligence (AI) are used for agricultural purposes. Different from Agriculture 4.0, robots and AI become the focus of the implementatio
Externí odkaz:
https://doaj.org/article/d22425c5d46b49c593cec049c70de287
Autor:
Bernays, Elizabeth A., Funk, Daniel J.
Publikováno v:
Proceedings: Biological Sciences, 1999 Jan . 266(1415), 151-156.
Externí odkaz:
https://www.jstor.org/stable/51219
Publikováno v:
Julius-Kühn-Archiv, Iss 445, Pp 131-138 (2014)
To avoid a further spreading of ragweed, patches as well as single plants have to be located and destroyed. Camera sensors can operate contactless and can easily be fixed to farm and urban machines to scan huge landscape areas. In private gardens che
Externí odkaz:
https://doaj.org/article/bf9f608c4583497cae880ba89d3f712a
Publikováno v:
Ecology, 2006 Feb 01. 87(2), 395-408.
Externí odkaz:
https://www.jstor.org/stable/20068954
Autor:
Dickey, Aaron
Host-Associated Differentiation (HAD) is the formation of genetically divergent hostassociated lineages maintained by ecological isolation. HAD is potentially an important route to ecological speciation in parasites including many insects. While HAD
Externí odkaz:
http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8695
Publikováno v:
Oecologia, 1986 Nov 01. 70(4), 592-595.
Externí odkaz:
https://www.jstor.org/stable/4218097
Akademický článek
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Autor:
Carrasco, David, Nyabuga, F. N., Anderbrant, E., Svensson, G. P., Birgersson, G., Lankinen, A., Larsson, M. C., Andersson, M. N.
Protapiori trifolii and P. fulvipes (Coleoptera: Brentidae) are major pests in European clover seed production. Previous studies have reported a high host plant fidelity of these weevils for red and white clover species, respectively, driven by host
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______932::e0b8da3362f59328eeffb8d7e29bfdc2
http://www.documentation.ird.fr/hor/fdi:010077395
http://www.documentation.ird.fr/hor/fdi:010077395
Publikováno v:
AlSuwaidi, A, Grieve, B & Yin, H 2017, Spectral-texture approach to hyperspectral image analysis for plant classification with SVMs . in 2017 IEEE International Conference on Imaging Systems and Techniques (IST) . pp. 1-6 . https://doi.org/10.1109/IST.2017.8261496
Numerous environmental and financial benefits of using hyperspectral imaging have driven much increased applications on plant monitoring and diagnosis. This paper is concerned with analysis of hyperspectral images for plant discrimination by means of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72476bb8bc98d5c2326365c814789b01
https://doi.org/10.1109/ist.2017.8261496
https://doi.org/10.1109/ist.2017.8261496
Akademický článek
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