Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Thiago Berticelli Ló"'
Autor:
Luiz Inácio Chaves, Wylliam Salviano Gongora, Michelli Cristina Galli, Thiago Berticelli Ló, André Luiz do Nascimento Moura, Gustavo Henrique Silveira Manoel, Jorge Luiz de Oliveira Pinto, Pedro Henrique Mauloni
Publikováno v:
Revista Liberato, Vol 24, Iss 41, Pp 70-80 (2023)
Resumo No Brasil, muitos acidentes de trânsito são registrados anualmente. Estatísticas indicam que cerca de 60% desses acidentes decorrem de sono e cansaço. O uso da tecnologia reduz em até 86% dos potenciais acidentes. Diante disso, um protó
Externí odkaz:
https://doaj.org/article/e7e9a9e326d8408c8ecc4bcc1efcd93e
Autor:
Laíza Cavalcante De Albuquerque Silva, Jerry Adriani Johann, Willyan Ronaldo Becker, Thiago Berticelli Ló, Jonathan Richetti
Publikováno v:
International Journal of Remote Sensing. 42:1121-1138
The knowledge of Sowing Dates (SD), Maximum Vegetative Development Dates (MVDD), and Harvest Dates (HD) of crops is important for estimating and forecasting large-scale productivity. Prior informat...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a719d70242734411c0ab31de3660bc10
https://doi.org/10.1080/01431161.2020.1823042
https://doi.org/10.1080/01431161.2020.1823042
Publikováno v:
Remote Sensing Applications: Society and Environment. 21:100459
The possibility of identifying and quantifying agricultural areas objectively and quickly is a relevant aspect in the Brazilian agricultural context, given the territorial extent of the country and the cultivated areas. The objective of this research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfcc91df9d57a7348b60485dcfb354d5
https://doi.org/10.1016/j.rsase.2020.100459
https://doi.org/10.1016/j.rsase.2020.100459