Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ronald Criollo"'
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
Publikováno v:
Geo-spatial Information Science, Vol 20, Iss 4, Pp 325-332 (2017)
Close-range hyperspectral images are a promising source of information in plant biology, in particular, for in vivo study of physiological changes. In this study, we investigate how data fusion can improve the detection of leaf elements by combining
Externí odkaz:
https://doaj.org/article/01775fcec21946f5b91d349fc52db881
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
Autor:
Akash Anand, V. Andronis, Paul Arellano, Nour-El-Islam Bachari, Heiko Balzter, Yangson Bao, Oswaldo Bayona, Jon Atli Benediktsson, Juan Carlos Berrío, Bimal Bhattacharya, Paul A. Brewer, Juan Cevallos-Cevallos, Shard Chander, Ronald Criollo, Hilda Deborah, Khidir Abdala Kwal Deng, P.K. Garg, Barbara Gerič Stare, Przemysław Głomb, Arindam Guha, Ashwin Gujrati, Ayushi Gupta, Jon Yngve Hardeberg, Mazlan Hashim, Noordyana Hassan, V. Karathanassi, G. Sandhya Kiran, Matej Knapič, K. Koloniatis, Bo Kong, Nikos Koutsias, Aswathy V. Krishna, Salim Lamine, Wenzhi Liao, Xian Liu, Xiangmeng Liu, Mark G. Macklin, Ramandeep Kaur M. Malhi, Kiril Manevski, Manoj K. Mishra, Onisimo Mutanga, Rowan Naicker, Rajashree Naik, Shinya Numata, Daniel Ochoa, Nkeiruka N. Onyia, Mahesh Pal, Manish Kumar Pandey, Prem Chandra Pandey, Andrew Pavlides, Kabir Peerbhay, George P. Petropoulos, Noël Richard, Michał Romaszewski, Arvind Sahay, L.K. Sharma, Mbulisi Sibanda, Prachi Singh, R.P. Singh, Saša Širca, Prashant K. Srivastava, Dimitris Stratoulias, Nik Susič, Mohamad Zakri Tarmidi, Leonidas Toulios, Gregor Urek, Qing Wang, Huan Yu, Uroš Žibrat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bb5ae19dd08be2165add3a6216b12b8
https://doi.org/10.1016/b978-0-08-102894-0.00026-7
https://doi.org/10.1016/b978-0-08-102894-0.00026-7
Publikováno v:
APSIPA
Farmers mix high and low quality cocoa beans to increase their income at the expense of chocolate flavor. We use closed range hyperspectral images to recognize two common varieties of cocoa beans at various fermentation stages. Several image calibrat
Publikováno v:
2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON).
Automatic detection of physiological changes in leaves using close range hyperspectral data is becoming a new tool for biologists. Given the geometry of leaves, the reliability of spectral data strongly depends on a careful spectral and geometric cal
Autor:
Daniel Ochoa, Wenzhi Liao, Oswaldo Bayona, Ronald Criollo, Juan M. Cevallos-Cevallos, Rodrigo Castro
Publikováno v:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII.
Complex chemical processes occur in during cocoa bean fermentation. To select well-fermented beans, experts take a sample of beans, cut them in half and visually check its color. Often farmers mix high and low quality beans therefore, chocolate prope
Autor:
Oswaldo Bayona, Rodrigo Castro, Juan Manuel Cevallos, Daniel Ochoa, Dennis Romero, Ronald Criollo, Germán Vargas
Publikováno v:
SPIE Proceedings.
Black Sigatoka (BS) is a banana plant disease caused by the fungus Mycosphaerella jiensis . BS symptomscan be observed at late infection stages. By that time, BS has probably spread to other plants. In this paper,we present our current work on buildi