Pham C., Rahim A., Hartmann Christian, Dupont C., Forster J., Markwordt F., Printanier Jean-Francois, Kechar B., Benkhelifa M., Baraka K., Benabdelouahab T., Bartzanas T., Fountas S. (2022). Deploying low-cost and full edge-IoT/AI system for optimizing irrigation in smallholder farmers communities. In :
Alvarez Valera H.H. (ed.), Lustrek M. (ed.). Workshops at 18th International Conference on Intelligent Environments (IE2022). Amsterdam : IOS Press, 126-135. (Ambient Intelligence and Smart Environments ; 31). International Conference on Intelligent Environments, 18., Biarritz (FRA), 20/06/2022-23/06/2022. ISBN 978-1-64368-286-0.
Titre du document
Deploying low-cost and full edge-IoT/AI system for optimizing irrigation in smallholder farmers communities
Année de publication
2022
Type de document
Partie d'ouvrage
Auteurs
Pham C., Rahim A., Hartmann Christian, Dupont C., Forster J., Markwordt F., Printanier Jean-Francois, Kechar B., Benkhelifa M., Baraka K., Benabdelouahab T., Bartzanas T., Fountas S.
In
Alvarez Valera H.H. (ed.), Lustrek M. (ed.), Workshops at 18th International Conference on Intelligent Environments (IE2022)
Source
Amsterdam : IOS Press, 2022,
126-135 (Ambient Intelligence and Smart Environments ; 31). ISBN 978-1-64368-286-0
Colloque
International Conference on Intelligent Environments, 18., Biarritz (FRA), 20/06/2022-23/06/2022
About 35% of the world's food are produced in small-scale farms while only occupying about 12% of all agricultural land. However, smallholder farmers usually face a number of constraints and the water resource is one of the major constraints. The usage of smart technologies and especially sensor systems in so-called Smart Farming Technologies can be applied to the optimization of irrigation. Regardless of the irrigation technique, soil sensors are promising in providing data that can be used to further reduce the usage of water. However, despite all these possibilities, the smallholder community are still reluctant to step into technology-based systems. There are various reasons but prohibitive cost and complexity of deployment usually appear overwhelming. The PRIMA INTEL-IRRIS project has the ambition to make digital and smart farming technologies attractive & more accessible to these communities by proposing the intelligent irrigation 'in-the-box' concept. This paper describes the low-cost and full edge-IoT/AI system targeting the smallholder farmers communities and how it can provide the intelligent irrigation 'in-the-box' concept.
Plan de classement
Hydrologie [062]
;
Economie générale / Macroéconomie [094]
;
Economie et sociologie rurale [098]
;
Informatique [122]
Localisation
Fonds IRD [F B010085798]
Identifiant IRD
fdi:010085798
