Leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in Zimbabwe
Type:
Title:
Leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in Zimbabwe
Creator:
Gracia-Romero, A.;
Kefauver, S.C.;
Vergara, O.;
Hamadziripi, E.;
Zaman-Allah, M.;
https://orcid.org/0000-0002-8120-5125
Scopus ID
Researcher ID
Mendeley
Items in this Repository
View
Thierfelder, C.;
https://orcid.org/0000-0002-6306-7670
Scopus ID
Mendeley
Items in this Repository
View
Prasanna, B.M.;
Cairns, J.E.;
Araus, J.L.
Kefauver, S.C.;
Vergara, O.;
Hamadziripi, E.;
Zaman-Allah, M.;

Zaman-Allah, M.




View
Thierfelder, C.;

Thierfelder, C.



View
Prasanna, B.M.;

Cairns, J.E.;

Araus, J.L.
Year:
2020
Copyright:
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Journal:
Nature Scientific Reports
Journal volume:
10
Journal issue:
1
Place of Publication:
London (United Kingdom)
Publisher:
Nature Publishing Group
Citation:
Leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in Zimbabwe. 2020. 10 (1) DOI: 10.1038/s41598-020-73110-3 Nature Publishing Group.