Methodological approach for predicting and mapping the phenological adaptation of tropical maize (Zea mays L.) using multi-environment trials

by Henri E. Z. Tonnang, Dan Makumbi, Peter Craufurd
Published 2018-12-01

Can a Combination of UAV-Derived Vegetation Indices with Biophysical Variables Improve Yield Variability Assessment in Smallholder Farms?

by Julius Adewopo, Helen Peter, Ibrahim Mohammed, Alpha Kamara, Peter Craufurd, Bernard Vanlauwe
Published 2020-12-01

PPMaP: Reproducible and Extensible Open-Source Software for Plant Phenological Phase Duration Prediction and Mapping in Sub-Saharan Africa

by Henri E. Z. Tonnang, Ritter A. Guimapi, Anani Y. Bruce, Dan Makumbi, Bester T. Mudereri, Tesfaye Balemi, Peter Craufurd
Published 2020-10-01

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

by Henri E. Z. Tonnang, Tesfaye Balemi, Kenneth F. Masuki, Ibrahim Mohammed, Julius Adewopo, Adnan A. Adnan, Bester Tawona Mudereri, Bernard Vanlauwe, Peter Craufurd
Published 2020-09-01