Smart Farming Techniques for Climate Change Adaptation in Cyprus

Smart farming based on Internet of Things (IoT) technologies enables crop farmers to collect real-time data related to irrigation and plant protection processes, aiming to increase production volume, improve product quality, and predict diseases, while optimizing resources and farming processes. IoT...

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Main Authors: George Adamides, Nikos Kalatzis, Andreas Stylianou, Nikolaos Marianos, Fotis Chatzipapadopoulos, Marianthi Giannakopoulou, George Papadavid, Vassilis Vassiliou, Damianos Neocleous
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/11/6/557
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author George Adamides
Nikos Kalatzis
Andreas Stylianou
Nikolaos Marianos
Fotis Chatzipapadopoulos
Marianthi Giannakopoulou
George Papadavid
Vassilis Vassiliou
Damianos Neocleous
author_facet George Adamides
Nikos Kalatzis
Andreas Stylianou
Nikolaos Marianos
Fotis Chatzipapadopoulos
Marianthi Giannakopoulou
George Papadavid
Vassilis Vassiliou
Damianos Neocleous
author_sort George Adamides
collection DOAJ
description Smart farming based on Internet of Things (IoT) technologies enables crop farmers to collect real-time data related to irrigation and plant protection processes, aiming to increase production volume, improve product quality, and predict diseases, while optimizing resources and farming processes. IoT devices can collect vast amounts of environmental, soil, and crop performance data, thus building time series data that can be analyzed to forecast and compute recommendations and deliver critical information to farmers in real time. In this sense, the added-value from the farmers’ perspective is that such smart farming techniques have the potential to deliver a more sustainable agricultural production, based on a more precise and resource-efficient approach in the complex and versatile agricultural environment. The aim of this study is to investigate possible advantages of applying the Smart Farming as a Service (SFaaS) paradigm, aiming to support small-scale farmers, by taking over the technological investment burden and offering next generation farming advice through the combined utilization of heterogeneous information sources. The overall results of the pilot application demonstrate a potential reduction of up to 22% on total irrigation needs and important optimization opportunities on pesticides use efficiency. The current work offers opportunities for innovation targeting and climate change adaptation options (new agricultural technologies), and could help farmers to reduce their ecological footprint.
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spelling doaj.art-544c6a7897d241e1b4adc5e9f05a81af2023-11-20T01:56:49ZengMDPI AGAtmosphere2073-44332020-05-0111655710.3390/atmos11060557Smart Farming Techniques for Climate Change Adaptation in CyprusGeorge Adamides0Nikos Kalatzis1Andreas Stylianou2Nikolaos Marianos3Fotis Chatzipapadopoulos4Marianthi Giannakopoulou5George Papadavid6Vassilis Vassiliou7Damianos Neocleous8Agricultural Research Institute, P.O. Box 22016, 1516 Nicosia, CyprusNeuropublic SA, 18545 Piraeus, GreeceAgricultural Research Institute, P.O. Box 22016, 1516 Nicosia, CyprusNeuropublic SA, 18545 Piraeus, GreeceNeuropublic SA, 18545 Piraeus, GreeceAgricultural Research Institute, P.O. Box 22016, 1516 Nicosia, CyprusAgricultural Research Institute, P.O. Box 22016, 1516 Nicosia, CyprusAgricultural Research Institute, P.O. Box 22016, 1516 Nicosia, CyprusAgricultural Research Institute, P.O. Box 22016, 1516 Nicosia, CyprusSmart farming based on Internet of Things (IoT) technologies enables crop farmers to collect real-time data related to irrigation and plant protection processes, aiming to increase production volume, improve product quality, and predict diseases, while optimizing resources and farming processes. IoT devices can collect vast amounts of environmental, soil, and crop performance data, thus building time series data that can be analyzed to forecast and compute recommendations and deliver critical information to farmers in real time. In this sense, the added-value from the farmers’ perspective is that such smart farming techniques have the potential to deliver a more sustainable agricultural production, based on a more precise and resource-efficient approach in the complex and versatile agricultural environment. The aim of this study is to investigate possible advantages of applying the Smart Farming as a Service (SFaaS) paradigm, aiming to support small-scale farmers, by taking over the technological investment burden and offering next generation farming advice through the combined utilization of heterogeneous information sources. The overall results of the pilot application demonstrate a potential reduction of up to 22% on total irrigation needs and important optimization opportunities on pesticides use efficiency. The current work offers opportunities for innovation targeting and climate change adaptation options (new agricultural technologies), and could help farmers to reduce their ecological footprint.https://www.mdpi.com/2073-4433/11/6/557smart farmingagriculture 4.0Internet of Thingsclimate changeirrigationsensors
spellingShingle George Adamides
Nikos Kalatzis
Andreas Stylianou
Nikolaos Marianos
Fotis Chatzipapadopoulos
Marianthi Giannakopoulou
George Papadavid
Vassilis Vassiliou
Damianos Neocleous
Smart Farming Techniques for Climate Change Adaptation in Cyprus
Atmosphere
smart farming
agriculture 4.0
Internet of Things
climate change
irrigation
sensors
title Smart Farming Techniques for Climate Change Adaptation in Cyprus
title_full Smart Farming Techniques for Climate Change Adaptation in Cyprus
title_fullStr Smart Farming Techniques for Climate Change Adaptation in Cyprus
title_full_unstemmed Smart Farming Techniques for Climate Change Adaptation in Cyprus
title_short Smart Farming Techniques for Climate Change Adaptation in Cyprus
title_sort smart farming techniques for climate change adaptation in cyprus
topic smart farming
agriculture 4.0
Internet of Things
climate change
irrigation
sensors
url https://www.mdpi.com/2073-4433/11/6/557
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