Smart Decisions for "Smart Villages": Advancing Agricultural Innovation

Kareska, Katerina (2024) Smart Decisions for "Smart Villages": Advancing Agricultural Innovation. In: 3rd International Conference on Frontiers in Academic Research ICFAR 2024, June 15-16, 2024, Konya, Turkey.

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Abstract

The concept of "Smart Villages" is emerging as a key solution for the modernization of rural
areas, especially in the agricultural sector. This paper explores the integration of advanced technologies
and smart decision-making frameworks to improve agricultural productivity and sustainability. By using
Internet of Things (IoT) devices, artificial intelligence (AI) and precision farming tools, Smart Villages
can address critical challenges such as resource inefficiency, climate variability and market accessibility.
This study presents a comprehensive review of current technology applications in agriculture and
identifies gaps in existing research. A robust decision-making framework that includes data collection,
analysis and implementation strategies tailored to rural contexts is therefore proposed. This framework
aims to empower local farmers with actionable insights, optimize resource use and improve crop yields.
In addition, we discuss the socio-economic impacts of smart villages, considering opportunities and
barriers to adoption.
Through detailed analysis and practical recommendations, this paper contributes to the current discourse
on sustainable rural development. This paper highlights the potential of smart technologies to transform
agricultural practices, fostering resilient and prosperous rural communities.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Scientific Fields (Frascati) > Agricultural Sciences > Agriculture, forestry and fisheries Scientific Fields (Frascati) > Agricultural Sciences > Other agricultural sciences
Divisions:	Scientific Tobacco Institute
Depositing User:	Prof d-r. Katerina Kareska
Date Deposited:	01 Nov 2024 10:45
Last Modified:	01 Nov 2024 10:45
URI:	https://eprints.uklo.edu.mk/id/eprint/10102

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