Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jorge Ugarte Fajardo"'
Publikováno v:
Plants, Vol 11, Iss 19, p 2581 (2022)
Current chemical methods used to control plant diseases cause a negative impact on the environment and increase production costs. Accurate and early detection is vital for designing effective protection strategies for crops. We evaluate advanced dist
Externí odkaz:
https://doaj.org/article/91b25a992c434f2eb03ec2999299428d
Autor:
Jorge Ugarte Fajardo, Oswaldo Bayona Andrade, Ronald Criollo Bonilla, Juan Cevallos‐Cevallos, María Mariduena‐Zavala, Daniel Ochoa Donoso, José Luis Vicente Villardón
Publikováno v:
Applications in Plant Sciences, Vol 8, Iss 8, Pp n/a-n/a (2020)
Premise Black Sigatoka is one of the most severe banana (Musa spp.) diseases worldwide, but no methods for the rapid early detection of this disease have been reported. This paper assesses the use of hyperspectral images for the development of a part
Externí odkaz:
https://doaj.org/article/2ed61d31ec5c458c8077232d5246de36
Autor:
Juan M. Cevallos-Cevallos, María Gabriela Maridueña-Zavala, Daniel Ochoa Donoso, José Luis Vicente Villardón, Jorge Ugarte Fajardo, Ronald Criollo Bonilla, Oswaldo Bayona Andrade
Publikováno v:
Applications in Plant Sciences, Vol 8, Iss 8, Pp n/a-n/a (2020)
Applications in Plant Sciences
Applications in Plant Sciences
Premise Black Sigatoka is one of the most severe banana (Musa spp.) diseases worldwide, but no methods for the rapid early detection of this disease have been reported. This paper assesses the use of hyperspectral images for the development of a part
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bacc8ca50d3941fea06c0f59614a2630
https://doaj.org/article/2ed61d31ec5c458c8077232d5246de36
https://doaj.org/article/2ed61d31ec5c458c8077232d5246de36