Controlling Sub-Sahara African Agricultural Resources for Sustainable Development with the use of Artificial Intelligence Based Monitoring Assistive Technology (Aibmat)

Authors

  • Ojuope, Kehinde Isaac Department of Computer Sci., Aminu Saleh Col. of Edu., Azare, Bauchi State, Nigeria. Author
  • Chris-Alofe, Mary Folasade Department of Computer Sci., Federal Coop. College, Ibadan Oyo State, Nigeria. Author
  • Salawu, Sule Ajiboye Department of Computer Sci., Aminu Saleh Col. of Edu., Azare, Bauchi State, Nigeria. Author

Abstract

Sub-Sahara Africa’s Agricultural activities are of great value and diversity, it surpassing that of many other places in the world (Ojuope et al, 2023). The varieties of Agricultural activities attracts the attention of tourists to this region of the continent. Africa’s Agricultural resources has been seen as a valuable asset to promote food productivity and encourage sustainable development. The value of Agriculture and wildlife cut across climate change control, economic, ecological, medicinal, educational, scientific, recreational and intrinsic reasons. It provides employment and contributes to the national incomes of many countries through earnings from agricultural tourism and the sale of agricultural products. The effect of illegal farming activities on African forest calls for the training of the resources explorers most especially on the use of Information Technology based forest monitoring Artificial Intelligence for managing, protecting and preserving these resources.  As a result of this, this, work focused on ccontrolling sub-Sahara African Agricultural resources for sustainable development with the use of artificial intelligence based monitoring assistive technology (AIBMAT).  The paper also review related articles and come up with different monitoring strategies.  In efforts to preserve the diversity of Agricultural resources in sub-Sahara Africa, various actors have suggested a various strategies for protecting, preserving, monitoring and managing the resources.

Keywords:

Agricultural Resources, Artificial Intelligence, Sustainable Development, Sub-Sahara Africa, Monitoring

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Published

2024-08-31

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How to Cite

Ojuope, Kehinde Isaac, Chris-Alofe, Mary Folasade, & Salawu, Sule Ajiboye. (2024). Controlling Sub-Sahara African Agricultural Resources for Sustainable Development with the use of Artificial Intelligence Based Monitoring Assistive Technology (Aibmat). Journal of African Innovation and Advanced Studies, 5(2). https://africanscholarpub.com/ajaias/article/view/267

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