Robust and Affordable Smart Agri-IoT Technology
Thematic Area: ICTs including big data and artiﬁcial intelligence
University: Gaston Berger Université (UGB)
Project Leader: Dr. Emmanuel Effah
Collaborating Partners: Dr William A. Agangiba, Team Member (Senior Lecturer, Department of Computer Science and Engineering, UMaT-Ghana) ; Dr. Ivy Botchway, Team Member (Lecturer, Department of Computer Science and Engineering, UMaT-Ghana) ;Professor Ousmane Thiare, Inter
Duration: 2 years
Apart from being time-consuming, labour-intensive and inefficient in terms of crop production volumes and quality, the rainfall-dependent traditional farming procedure is no longer reliable for addressing the current food insecurity challenges and the resulting unemployment threats created by the negative impacts of climate change and increasing regional population on agriculture.
One promising solution to help farmers adapt is smart Agricultural Internet-of-Things technology (Agri-IoT), which allows users to remotely sample agronomical data of the field, crops, and livestock, process this data, and make actionable decisions regarding resource optimization, crop/animal condition monitoring, farm automation, and soil management.
The project aims to develop Agri-IoT prototypes outsourced to end-users (farmers) in order to validate the commercial viability of the solution in large-scale farm experimentations for improved farm productivity.
Overall, this project is expected to provide a context-relevant innovation for addressing food insecurity issues and unemployment threats caused by climate change-induced seasonal failures in Ghana/Africa by making farming lucrative and attractive to the youth.
The Agri-IoT prototypes developed in precision farming will contribute to improved crop quality and volumes by ensuring that the right amount of resources such as water, fertilizers, and pesticides are applied at the right time under suitable environmental conditions.
For more information, please contact the Project Leader.