A functional framework based on big data analytics for smart farming

Loubna Rabhi, Noureddine Falih, Lekbir Afraites, Belaid Bouikhalene

Abstract


BigĀ data in agriculture is defined as massive volumes of data with a wide variety of sources and types which can be captured using internet of things sensors (soil and crops sensors, drones, and meteorological stations), analyzed and used for decision-making. In the era of internet of things (IoT) tools, connected agriculture has appeared. Big data outputs can be exploited by the future connected agriculture in order to reduce cost and time production, improve yield, develop new products, offer optimization and smart decision-making. In this article, we propose a functional framework to model the decision-making process in digital and connected agriculture.

Keywords


Agriculture 4.0; Big data analytics; Digital agriculture; Smart farming;

Full Text:

PDF


DOI: http://doi.org/10.11591/ijeecs.v24.i3.pp1772-1779

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

shopify stats IJEECS visitor statistics