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Open AccessFeature PaperArticle

Towards Climate Smart Farming—A Reference Architecture for Integrated Farming Systems

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Department of Electrical and Computer Engineering, University of Western Macedonia, 50100 Kozani, Greece
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Department of Computer Science, Kavala Campus, International Hellenic University, 65404 Thessaloniki, Greece
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Department of Agriculture, School of Agricultural Sciences, University of Western Macedonia, 50100 Kozani, Greece
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Author to whom correspondence should be addressed.
Telecom 2021, 2(1), 52-74; https://doi.org/10.3390/telecom2010005
Received: 15 November 2020 / Revised: 11 January 2021 / Accepted: 26 January 2021 / Published: 9 February 2021
(This article belongs to the Special Issue Machine Learning Applications in Smart Agriculture)
Climate change is emerging as a major threat to farming, food security and the livelihoods of millions of people across the world. Agriculture is strongly affected by climate change due to increasing temperatures, water shortage, heavy rainfall and variations in the frequency and intensity of excessive climatic events such as floods and droughts. Farmers need to adapt to climate change by developing advanced and sophisticated farming systems instead of simply farming at lower intensity and occupying more land. Integrated agricultural systems constitute a promising solution, as they can lower reliance on external inputs, enhance nutrient cycling and increase natural resource use efficiency. In this context, the concept of Climate-Smart Agriculture (CSA) emerged as a promising solution to secure the resources for the growing world population under climate change conditions. This work proposes a CSA architecture for fostering and supporting integrated agricultural systems, such as Mixed Farming Systems (MFS), by facilitating the design, the deployment and the management of crop–livestock-=forestry combinations towards sustainable, efficient and climate resilient agricultural systems. Propelled by cutting-edge technology solutions in data collection and processing, along with fully autonomous monitoring systems, e.g., smart sensors and unmanned aerial vehicles (UAVs), the proposed architecture called MiFarm-CSA, aims to foster core interactions among animals, forests and crops, while mitigating the high complexity of these interactions, through a novel conceptual framework. View Full-Text
Keywords: mixed farming systems; climate smart agriculture; unmanned aerial vehicles; participatory learning; socio-economic modelling; internet of things mixed farming systems; climate smart agriculture; unmanned aerial vehicles; participatory learning; socio-economic modelling; internet of things
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MDPI and ACS Style

Kakamoukas, G.; Sarigiannidis, P.; Maropoulos, A.; Lagkas, T.; Zaralis, K.; Karaiskou, C. Towards Climate Smart Farming—A Reference Architecture for Integrated Farming Systems. Telecom 2021, 2, 52-74. https://doi.org/10.3390/telecom2010005

AMA Style

Kakamoukas G, Sarigiannidis P, Maropoulos A, Lagkas T, Zaralis K, Karaiskou C. Towards Climate Smart Farming—A Reference Architecture for Integrated Farming Systems. Telecom. 2021; 2(1):52-74. https://doi.org/10.3390/telecom2010005

Chicago/Turabian Style

Kakamoukas, Georgios; Sarigiannidis, Panagiotis; Maropoulos, Andreas; Lagkas, Thomas; Zaralis, Konstantinos; Karaiskou, Chrysoula. 2021. "Towards Climate Smart Farming—A Reference Architecture for Integrated Farming Systems" Telecom 2, no. 1: 52-74. https://doi.org/10.3390/telecom2010005

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