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pro vyhledávání: '"Yonatan Meir"'
Autor:
Yonatan Meir, Jayme Garcia Arnal Barbedo, Omri Keren, Cláudia Vieira Godoy, Nofar Amedi, Yaar Shalom, Amir B. Geva
Publikováno v:
Sensors, Vol 23, Iss 9, p 4272 (2023)
One of the most challenging problems associated with the development of accurate and reliable application of computer vision and artificial intelligence in agriculture is that, not only are massive amounts of training data usually required, but also,
Externí odkaz:
https://doaj.org/article/aa7d07a8bbd54c74a2272dd5765f18d9
Autor:
Yonatan Meir, Jayme Garcia Arnal Barbedo, Omri Keren, Cláudia Vieira Godoy, Nofar Amedi, Yaar Shalom, Amir B. Geva
Publikováno v:
Sensors; Volume 23; Issue 9; Pages: 4272
One of the most challenging problems associated with the development of accurate and reliable application of computer vision and artificial intelligence in agriculture is that, not only are massive amounts of training data usually required, but also,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbfe5be54b08f3e91b32323a6740793a
https://doi.org/10.2139/ssrn.4305403
https://doi.org/10.2139/ssrn.4305403