**Author details**

Nnadozie Okonkwo Nnoli1 \*, Ahmed Balogun1 , Jerome Omotosho1 and Samuel Agele2

1 Department of Meteorology and Climate Science, The Federal University of Technology, Akure, Nigeria

2 Department of Crop, Soil and Pest Management, The Federal University of Technology, Akure, Nigeria

\*Address all correspondence to: nnolino@futa.edu.ng; nonnoli48@gmail.com

© 2021 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

*Critical Dry Spell Prediction in Rain-Fed Maize Crop Using Artificial Neural Network in Nigeria DOI: http://dx.doi.org/10.5772/intechopen.100627*
