Zobrazeno 1 - 6
of 6
pro vyhledávání: '"real-time plant diagnosis"'
Autor:
Obed Appiah, Kwame Oppong Hackman, Belko Abdoul Aziz Diallo, Kehinde O. Ogunjobi, Son Diakalia, Ouedraogo Valentin, Damoue Abdoul-Karim, Gaston Dabire
Publikováno v:
Agriculture, Vol 14, Iss 8, p 1252 (2024)
This study presents PlanteSaine, a novel mobile application powered by Artificial Intelligence (AI) models explicitly designed for maize, tomato, and onion farmers in Burkina Faso. Agriculture in Burkina Faso, like many developing nations, faces subs
Externí odkaz:
https://doaj.org/article/379aa0091943419b9f574ef414699b43
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Dheeraj, Akshay, Chand, Satish
Publikováno v:
Journal of Plant Diseases & Protection; Jun2024, Vol. 131 Issue 3, p1043-1059, 17p
Autor:
Frem, Michel, Petrontino, Alessandro, Fucilli, Vincenzo, De Lucia, Barbara, Tria, Emanuela, Campobasso, Adele Annarita, Calderoni, Federica, Bozzo, Francesco
Publikováno v:
Horticulturae; May2024, Vol. 10 Issue 5, p501, 16p
Autor:
Yamagishi, Yuki1 (AUTHOR) yamagishi-yuki008@g.ecc.u-tokyo.ac.jp, Kato, Yoichiro1 (AUTHOR) ykato@g.ecc.u-tokyo.ac.jp, Ninomiya, Seishi1 (AUTHOR), Guo, Wei1 (AUTHOR) ykato@g.ecc.u-tokyo.ac.jp
Publikováno v:
Sensors (14248220). Aug2022, Vol. 22 Issue 15, p5547-N.PAG. 13p.
Autor:
MH. Kamarudin, Zool H. Ismail
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 1091:012043
Drought is one of the most severe climatological disasters that has negative impact on agricultural production around the world. Over the years, computer vision technology has been used in conjunction with machine learning applications to replace tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a152ddee90e7275560b84319f7f48808
https://doi.org/10.1088/1755-1315/1091/1/012043
https://doi.org/10.1088/1755-1315/1091/1/012043