Research Article
Effective Contribution of Internet of Things (IoT) in Smart Agriculture: State of Art
@INPROCEEDINGS{10.1007/978-3-031-06374-9_14, author={Doriane Mica\`{\i}la Andeme Bikoro and Samuel Fosso Wamba and Remy Magloire Etoua}, title={Effective Contribution of Internet of Things (IoT) in Smart Agriculture: State of Art}, proceedings={e-Infrastructure and e-Services for Developing Countries. 13th EAI International Conference, AFRICOMM 2021, Zanzibar, Tanzania, December 1-3, 2021, Proceedings}, proceedings_a={AFRICOMM}, year={2022}, month={5}, keywords={Internet of Things (IoT) (IoT) Smart farm ICT’s Review}, doi={10.1007/978-3-031-06374-9_14} }- Doriane Micaëla Andeme Bikoro
Samuel Fosso Wamba
Remy Magloire Etoua
Year: 2022
Effective Contribution of Internet of Things (IoT) in Smart Agriculture: State of Art
AFRICOMM
Springer
DOI: 10.1007/978-3-031-06374-9_14
Abstract
The popularization of the Internet of Things (IoT) (IoT) has made it possible to optimize and significantly improve the agricultural system. Thanks to this technology, farmers and ranchers are more confident in running their farms, which are now smart farms. By using New Information and Communication Technologies as a catalyst and essential facilitator for the development of this new style of agriculture. Several devices and mechanisms are used in intelligent systems related to agriculture. In this article, we review 30 scientific works produced and published by certain researchers and which sufficiently review the different dof management of smart farms without being exhaustive. This study aims to present a state of the art of integrating Internet of Things (IoT) into the agricultural environment to understand the improvements it brings and detect future smart agriculture issues. It turns out that smart agriculture is really at the heart of researchers, farmers, producers, and even states. The results of this state of the art show us that various devices and technologies are deployed in smart farms to ensure better performance. Depending on requirements and realities, each intelligent system should be adapted. This reflection helps to present directions for the development of intelligent farms that would be applicable and adaptable locally for the rest of our work.
