• español
    • English
  • English 
    • español
    • English
  • Login
baner

CIMMYT Publications Repository

Seeding innovation ... Nourishing hope

View Item 
  •   DSpace Home
  • CIMMYT
  • Sustainable Intensification
  • View Item
  •   DSpace Home
  • CIMMYT
  • Sustainable Intensification
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Rapid acquisition, management, and analysis of spatial maize (Zea mays L.) phenological data—Towards ‘Big Data’ for agronomy transformation in Africa


Type:
Article
Title:
Rapid acquisition, management, and analysis of spatial maize (Zea mays L.) phenological data—Towards ‘Big Data’ for agronomy transformation in Africa
Creator:
Tonnang, H.;
Tonnang, H.
ORCID iD iconhttps://orcid.org/0000-0002-9424-9186
Items in this Repository
View

Balemi, T.;
Masuki, K.;
Masuki, K.
ORCID iD iconhttps://orcid.org/0000-0001-6615-3315
Items in this Repository
View

Mohammed, I.B.;
Adewopo, J.;
Adewopo, J.
ORCID iD iconhttps://orcid.org/0000-0003-4831-2823
Items in this Repository
View

Adnan, A.A.;
Adnan, A.A.
ORCID iD iconhttps://orcid.org/0000-0002-9052-3600
Items in this Repository
View

Mudereri, B.T.;
Mudereri, B.T.
ORCID iD iconhttps://orcid.org/0000-0001-9407-7890
Items in this Repository
View

Vanlauwe, B.;
Vanlauwe, B.
ORCID iD iconhttps://orcid.org/0000-0001-6016-6027
Items in this Repository
View

Craufurd, P.
ORCID iD icon
Craufurd, P.
ORCID iD iconhttps://orcid.org/0000-0001-8559-0174
Items in this Repository
View
Year:
2020
URI:
https://hdl.handle.net/10883/21346
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:
Agronomy
Journal volume:
10
Journal issue:
9
Article number:
1363
DOI:
10.3390/agronomy10091363
Place of Publication:
Basel (Switzerland)
Publisher:
MDPI
Citation:
Rapid acquisition, management, and analysis of spatial maize (Zea mays L.) phenological data—Towards ‘Big Data’ for agronomy transformation in Africa. 2020. 10 (9) DOI: 10.3390/agronomy10091363 MDPI.

Show full item record







Files in this item

Thumbnail
Name:
63590.pdf
Size:
3.557Mb
Format:
application/pdf
Descripción:
...
View/Open

This item appears in the following Collection(s)

  • Sustainable Intensification

Collections

Genetic ResourcesInstitutionalMaizeSocioeconomicsSustainable Agrifood SystemsSustainable IntensificationWheat

All of DSpace
Communities & CollectionsAuthorsTitlesSubjectsBy YearConferenceJournal
This Collection
AuthorsTitlesSubjectsBy YearConferenceJournal

CIMMYT staff access

Login

View Usage Statistics


baner
 

 


DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback