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Use of AI in Predicting Trends in Vegetation Dynamics in Africa

Domaine:

agriculturegeospatial

Type de record:

paper
Créateur:
JeaSanDou
Éditeur:
IGI
Hôte:
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.

Visit

doi.org

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