Zobrazeno 1 - 10
of 914
pro vyhledávání: '"Multiplex® 3"'
Publikováno v:
Pakistan Journal of Medical Sciences. Jul2024, Vol. 40 Issue 6, p1185-1189. 5p.
Autor:
Antonio Dore1, Maria Giovanna Molinu1, Antonio Petretto1, Filippo Gambella2, Luisella Sistu2, Davide Piccirilli2, Viviana Guido2, Antonio Pazzona2
Publikováno v:
Mechanization and new technologies for the control and the sustainability of agricultural and forestry systems, pp. 15–15, Alghero (SS), 29 maggio-1 giuno 2016
info:cnr-pdr/source/autori:Antonio Dore1, Maria Giovanna Molinu1, Antonio Petretto1, Filippo Gambella2, Luisella Sistu2, Davide Piccirilli2, Viviana Guido2 and Antonio Pazzona2/congresso_nome:Mechanization and new technologies for the control and the sustainability of agricultural and forestry systems/congresso_luogo:Alghero (SS)/congresso_data:29 maggio-1 giuno 2016/anno:2016/pagina_da:15/pagina_a:15/intervallo_pagine:15–15
info:cnr-pdr/source/autori:Antonio Dore1, Maria Giovanna Molinu1, Antonio Petretto1, Filippo Gambella2, Luisella Sistu2, Davide Piccirilli2, Viviana Guido2 and Antonio Pazzona2/congresso_nome:Mechanization and new technologies for the control and the sustainability of agricultural and forestry systems/congresso_luogo:Alghero (SS)/congresso_data:29 maggio-1 giuno 2016/anno:2016/pagina_da:15/pagina_a:15/intervallo_pagine:15–15
The preliminary results of a comparative study on the determination of the anthocyanin content in red grape and plum by a portable fluorescence-based optical sensor (Multiplex®3) are reported. Commercially available Multiplex®3 was used for measuri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::98c6ad2e0af608bf2c131073013b0e0b
Assessment of 'Sugranineteen' Table Grape Maturation Using Destructive and Auto-Fluorescence Methods
Autor:
Najwane Hamie, Luigi Tarricone, Vincenzo Verrastro, Giuseppe Natrella, Michele Faccia, Giuseppe Gambacorta
Publikováno v:
Foods, Vol 11, Iss 5, p 663 (2022)
The optimal harvesting of table grapes is commonly determined based on technological and phenolic indices analyzed over the course of its maturity. The classical techniques used for these analyses are destructive, time-consuming, and work for a limit
Externí odkaz:
https://doaj.org/article/3ca4805ec98344eda0602f0838e381f1
Autor:
Shanyu Huang, Yuxin Miao, Fei Yuan, Qiang Cao, Huichun Ye, Victoria I.S. Lenz-Wiedemann, Georg Bareth
Publikováno v:
Remote Sensing, Vol 11, Iss 16, p 1847 (2019)
Precision nitrogen (N) management requires an accurate and timely in-season assessment of crop N status. The proximal fluorescence sensor Multiplex®3 is a promising tool for monitoring crop N status. It performs a non-destructive estimation of plant
Externí odkaz:
https://doaj.org/article/5c7d3f8180d24dc4bfa1f3c1f1f91540
Assessment of “Sugranineteen” Table Grape Maturation Using Destructive and Auto-Fluorescence Methods
Autor:
Gambacorta, Najwane Hamie, Luigi Tarricone, Vincenzo Verrastro, Giuseppe Natrella, Michele Faccia, Giuseppe
Publikováno v:
Foods; Volume 11; Issue 5; Pages: 663
The optimal harvesting of table grapes is commonly determined based on technological and phenolic indices analyzed over the course of its maturity. The classical techniques used for these analyses are destructive, time-consuming, and work for a limit
Autor:
Georg Bareth, Qiang Cao, Yuxin Miao, Victoria I.S. Lenz-Wiedemann, Fei Yuan, Huichun Ye, Shanyu Huang
Publikováno v:
Remote Sensing, Vol 11, Iss 16, p 1847 (2019)
Remote Sensing; Volume 11; Issue 16; Pages: 1847
Remote Sensing; Volume 11; Issue 16; Pages: 1847
Precision nitrogen (N) management requires an accurate and timely in-season assessment of crop N status. The proximal fluorescence sensor Multiplex®3 is a promising tool for monitoring crop N status. It performs a non-destructive estimation of plant
Autor:
Huang, Shanyu1,2,3 (AUTHOR), Miao, Yuxin1,4 (AUTHOR) ymiao@cau.edu.cn, Yuan, Fei5 (AUTHOR), Cao, Qiang6 (AUTHOR), Ye, Huichun7 (AUTHOR), Lenz-Wiedemann, Victoria I.S.1,2 (AUTHOR), Bareth, Georg1,2 (AUTHOR)
Publikováno v:
Remote Sensing. Aug2019, Vol. 11 Issue 16, p1847-1847. 1p.
Autor:
Siqueira, Rafael1 (AUTHOR), Mandal, Dipankar2 (AUTHOR), Longchamps, Louis3 (AUTHOR), Khosla, Raj1,2 (AUTHOR) rkhosla@ksu.edu
Publikováno v:
Remote Sensing. Oct2022, Vol. 14 Issue 20, p5077-5077. 21p.
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