Enhancing Farmers Productivity Through IoT and Machine Learning: A State-of-the-Art Review of Recent Trends in Africa

Publication Type

Book Chapter

Name of Author

Chimango Nyasulu, University of Gaston Berger (UGB), SenegalFollow

Publication Date (Issue Year)

2021

Journal Name

Research in Computer Science and Its Applications. CNRIA 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Abstract

Abstract

Keywords

Keywords

Rsif Scholar Name

Chimango Nyasulu

Rsif Scholar Nationality

Malawi

Cohort

Cohort 2

Thematic Area

ICTs Including Big Data and Artificial Intelligence

Africa Host University (AHU)

University of Gaston Berger (UGB), Senegal

Recommended Citation

Nyasulu, C. (2021). Enhancing Farmers Productivity Through IoT and Machine Learning: A State-of-the-Art Review of Recent Trends in Africa. Research in Computer Science and Its Applications. CNRIA 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 400 https://doi.org/10.1007/978-3-030-90556-9_10