Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Konlavach Mengsuwan"'
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100688- (2024)
General-purpose artificial intelligence (AI) can facilitate agricultural digitalization as many tools do not require coding. Yet, it remains unclear how well the emerging general-purpose AI technologies can perform object counting, which is a fundame
Externí odkaz:
https://doaj.org/article/783ec4ea54e44d2ba71b01bd0f2ea2c5
Autor:
Masahiro Ryo, Josepha Schiller, Stefan Stiller, Juan Camilo Rivera Palacio, Konlavach Mengsuwan, Anastasiia Safonova, Yuqi Wei
Publikováno v:
Journal of Sustainable Agriculture and Environment, Vol 2, Iss 1, Pp 40-44 (2023)
Abstract Deep learning is an emerging data analytic tool that can improve predictability, efficiency and sustainability in agriculture. With a bibliometric analysis of 156 articles, we show how deep learning methods have been applied in the context o
Externí odkaz:
https://doaj.org/article/899cc1d3f65d4bfe85c5f2b9216ddd19
Autor:
Masahiro Ryo, Josepha Schiller, Stefan Stiller, Juan Camilo Rivera Palacio, Konlavach Mengsuwan, Anastasiia Safonova, Yuqi Wei
Publikováno v:
Journal of Sustainable Agriculture and Environment. 2:40-44
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e12766782f6b5e5bc65c6d954c8c43b9
https://doi.org/10.1002/sae2.12036
https://doi.org/10.1002/sae2.12036