Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Erika Akemi Saito Moriya"'
Autor:
Rorai Pereira Martins-Neto, Antonio Maria Garcia Tommaselli, Nilton Nobuhiro Imai, Eija Honkavaara, Milto Miltiadou, Erika Akemi Saito Moriya, Hassan Camil David
Publikováno v:
Forests, Vol 14, Iss 5, p 945 (2023)
This study experiments with different combinations of UAV hyperspectral data and LiDAR metrics for classifying eight tree species found in a Brazilian Atlantic Forest remnant, the most degraded Brazilian biome with high fragmentation but with huge st
Externí odkaz:
https://doaj.org/article/9d897e1b70184b159e41524fbaedd043
Autor:
Érika Akemi Saito Moriya, Nilton Nobuhiro Imai, Antonio Maria Garcia Tommaselli, Eija Honkavaara, David Luciano Rosalen
Publikováno v:
Agronomy, Vol 13, Iss 6, p 1542 (2023)
Phytosanitary control of crops requires the rapid mapping of diseases to enable management attention. This study aimed to evaluate the potential of vegetation indices for the detection of sugarcane mosaic disease. Spectral indices were applied to hyp
Externí odkaz:
https://doaj.org/article/cac43dd90ce64cb2b5308aeb8de24a0b
Autor:
Lucas Prado Osco, Ana Paula Marques Ramos, Mayara Maezano Faita Pinheiro, Érika Akemi Saito Moriya, Nilton Nobuhiro Imai, Nayara Estrabis, Felipe Ianczyk, Fábio Fernando de Araújo, Veraldo Liesenberg, Lúcio André de Castro Jorge, Jonathan Li, Lingfei Ma, Wesley Nunes Gonçalves, José Marcato Junior, José Eduardo Creste
Publikováno v:
Remote Sensing, Vol 12, Iss 6, p 906 (2020)
This paper presents a framework based on machine learning algorithms to predict nutrient content in leaf hyperspectral measurements. This is the first approach to evaluate macro- and micronutrient content with both machine learning and reflectance/fi
Externí odkaz:
https://doaj.org/article/ac169d975121448aae74662bd43ef556