Artificial Intelligence Technique, Panacea to 21st Century Agriculture in Africa- Dr Asibor

By Victor Bieni- Asaba

A Professor of Mathematical Physics, Department of Mathematics and Computer Science, Igbenedion University, Okada, Edo State, Dr. Raphael .E. Asibor has advised stakeholders in the African continent to explore the benefits of artificial intelligence and Mathematical model to boost the performance, quality and volume of Agricultural production in the 21st Century.

Dr. Asibor made this known to our reporter at Chrisland University Abeokuta, Ogun State Capital during a two-day Workshop of the gathering of African Professors to proffer solutions to the challenges of Sustainable Development Goals ( SDGs) in African continent.

Dr. Asibor added that the use of Mathematical method in Agriculture is dated back to 17th Centuty, therefore advocated for the combination of traditional farming system with the 21st Century Artificial intelligence (AI), internet of things (IOT), data analysis, cloud computing, network computing, Operating picture to replace the inconsistencies found in other natural variations such as chemical, biological and physical elements.

In his words: “The adoption of new technologies in Agriculture is really immediate. Agriculture is Central yo human survival. In the internet of things, Smart farmers goal is to increase productivity”.

“The common operating picture is used in the application of modern day living, Mathematicalization of Agriculture by persuading users to adopt the use of ICT tools”, he said.

Speaking further he noted that the holistic research he carried out on this alongside Prof. Bashiru Aremu, one of the best two thousand Educators in the World has shown that the model is beyond geometry, rather shows the imperatives of employing recent and advanced computing technologies in the Agricultural Sector.

The World renown Professor of Mathematics and Computer Science defined smart farming as the application of Mathematical methods and represent theories and analyse problems in Agriculture.

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