Rapid Acquisition, Management, and Analysis of Spatial Maize (<i>Zea mays</i> L.) Phenological Data—Towards ‘Big Data’ for Agronomy Transformation in Africa

Mobile smartphones, open-source set tools, and mobile applications have provided vast opportunities for timely, accurate, and seamless data collection, aggregation, storage, and analysis of agricultural data in sub-Saharan Africa (SSA). In this paper, we advanced and demonstrated the practical use a...

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Bibliographic Details
Main Authors: Henri E. Z. Tonnang, Tesfaye Balemi, Kenneth F. Masuki, Ibrahim Mohammed, Julius Adewopo, Adnan A. Adnan, Bester Tawona Mudereri, Bernard Vanlauwe, Peter Craufurd
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/10/9/1363