Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Guy Farjon"'
Autor:
Chen Rothschild, Eliahu David Aflalo, Inbar Kedem, Guy Farjon, Yitzhak Yitzhaky, Amir Sagi, Yael Edan
Publikováno v:
Smart Agricultural Technology, Vol 5, Iss , Pp 100289- (2023)
To meet the increasing demand for aquacultural products, it is necessary to increase cultured fish production and to ensure that the fish species grow with maximum efficiency. A significant component of aquacultural production is the counting process
Externí odkaz:
https://doaj.org/article/12620d2ec24748d79ee4b205e65c870e
Autor:
Guy Farjon, Aharon Bar-Hillel
Publikováno v:
IEEE Access, Vol 10, Pp 75376-75384 (2022)
Deep learning for tabular data is drawing increasing attention, with recent work attempting to boost the accuracy of neuron-based networks. However, such deep learning models are deserted when computational capacity is low, as in Internet of Things (
Externí odkaz:
https://doaj.org/article/0a91036f203a4b1f9031b0517e320eef
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Leaf counting in potted plants is an important building block for estimating their health status and growth rate and has obtained increasing attention from the visual phenotyping community in recent years. Two novel deep learning approaches for visua
Externí odkaz:
https://doaj.org/article/4bf70784b4cc4d4c8281aa22d5df1595
Publikováno v:
Precision Agriculture. 21:503-521
Accurate chemical thinning of apple trees requires estimation of their blooming intensity, and determination of the blooming peak date. Performing this task, as of today, requires human experts to be present in the orchards for the entire blossom per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d69546e2ad85aca581b526ed855c683d
https://doi.org/10.1007/s11119-019-09679-1
https://doi.org/10.1007/s11119-019-09679-1
Publikováno v:
Frontiers in Plant Science
Frontiers in Plant Science, Vol 12 (2021)
Frontiers in Plant Science, Vol 12 (2021)
Leaf counting in potted plants is an important building block for estimating their health status and growth rate and has obtained increasing attention from the visual phenotyping community in recent years. Two novel deep learning approaches for visua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a76da4cd7a7dc721cb887ed84911ee2
https://pubmed.ncbi.nlm.nih.gov/34177972
https://pubmed.ncbi.nlm.nih.gov/34177972
Autor:
Faina Khoroshevsky, Daniel A. Koster, Guy Farjon, Aharon Bar-Hillel, Omer Wosner, Oshry Markovich, Lena Karol
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030654139
ECCV Workshops (6)
ECCV Workshops (6)
We consider detection accuracy in agricultural contexts. Five challenging datasets were collected and benchmarked, with three recent networks tested. Based on an initial analysis showing the importance of image resolution, models were trained and tes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb04e677613b62c6ebe2c2fa5399358b
https://doi.org/10.1007/978-3-030-65414-6_26
https://doi.org/10.1007/978-3-030-65414-6_26
Publikováno v:
Computers and Electronics in Agriculture. 189:106404
Visual object detection is an important component in several applications of automated agriculture. In this paper we consider how to properly apply modern deep networks for detection tasks in agricultural contexts, benchmark their performance, and co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a89b0f174087f4b41454dfb47c2bfb71
https://doi.org/10.1016/j.compag.2021.106404
https://doi.org/10.1016/j.compag.2021.106404