Rapid acquisition, management, and analysis of spatial maize (Zea mays L.) phenological data—Towards ‘Big Data’ for agronomy transformation in Africa
Type:
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.;
Balemi, T.;
Masuki, K.;
Mohammed, I.B.;
Adewopo, J.;
Adnan, A. A.;
Mudereri, B.T.;
Vanlauwe, B.;
Craufurd, P.
Balemi, T.;
Masuki, K.;
Mohammed, I.B.;
Adewopo, J.;
Adnan, A. A.;
Mudereri, B.T.;
Vanlauwe, B.;
Craufurd, P.
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:
Agronomy
Journal volume:
10
Journal issue:
9
Article number:
1363
Place of Publication:
Basel (Switzerland)
Publisher:
MDPI
