Use of AI in Predicting Trends in Vegetation Dynamics in Africa

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Author(s): Jean-Éric Pelet (LARGEPA, Panthéon-Assas University, Paris, France), Santiago Belda (Universidad de Alicante, Spain)and Dounia Arezki (Computer Science Faculty, Science and Technology University of Oran, Algeria)
Copyright: 2023
Pages: 26
Source title: Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch003

Keywords: Data Analysis and Statistics / Information Science Reference / Knowledge Management and Library Science / Machine Learning

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Abstract

Artificial intelligence is the key to profound changes in Africa. It creates as many opportunities as challenges, and to achieve this, foreign capital is welcome. Through a precise description of the possible modes of financing, making it possible to support entrepreneurs and managers of SMEs/ETIs, this article presents the solutions that can be envisaged and to be developed, which the actors of a booming African continent could seize, with a view to achieving ambitious, sustainable development and leading to equitable solutions for its inhabitants that it expects. As an example, in the field of agriculture, AI makes it possible to work on soil aridity. Using earth monitoring techniques, the authors have been able to retrieve vegetation seasonal trends in an African agricultural region. Results are presented to explain how AI can help agriculture through time-series satellite images and chlorophyll collected from the area. Future ways of research and limits are also presented, before concluding.

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Use of AI in Predicting Trends in Vegetation Dynamics in Africa

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