Articles
Use of the AgroNIT smart farming IoT ecosystem to assess the impact of climate variability and change on peach phenology and evapotranspiration in northern Greece
Article number
1425_61
Pages
473 – 480
Language
English
Abstract
The Mediterranean area is one of the regions most affected by climate change.
Hence, an accurate assessment of its impact on crops is essential to develop adaptation strategies to increase agricultural systems’ sustainability.
In this study, the AgroNIT smart farming system is employed to enable the characterization of local climate variability and climate change impact on Prunus persica cultivar ‘Everts’ grown in two different regions during 2019-2022. AgroNIT is an IoT ecosystem designed to incubate and evaluate novel field-based solutions aiming to improve crop management sustainability.
AgroNIT’s highly modular architecture relies on real-time, distributed field data collection and analysis by leveraging energy-autonomous, mesh Wireless Sensor Networks, high-performance Cloud Computing, and tailor-made Decision-Support Systems.
In northern Greece, the AgroNIT testbed comprises 43 IoT-enabled sensing & communication devices deployed at 23 peach orchards across the region.
Herein, two use cases (UC) are presented aiming to show how the crop-specific phenological and irrigation models integrated into AgroNIT can be utilized to a) assess crop phenological responses, and b) determine real crop water needs of the ‘Everts’ peach cultivar grown in the regions of Apsalos (UC1) and Mavrovouni (UC2) in central Macedonia.
UC1 showed higher chilling (CH) accumulation and growing degree hours (GDH) compared to UC2, leading to longer phenophases.
From 2019 to 2022, GDH from bloom to harvest increased in UC1 and decreased in UC2. In UC1, crop evapotranspiration gradually decreased over the summer of 2021-2022. In UC2, remarkably higher values were noted on average in 2020 and 2021 due to the higher mean temperatures.
In both UCs, the crop evapotranspiration patterns were similar between 2019 and 2022. Concluding, AgroNIT enables the assessment of the effect spatial and temporal climate variability has on crop phenological responses, facilitating the development of the appropriate strategies to enhance crop sustainability.
Hence, an accurate assessment of its impact on crops is essential to develop adaptation strategies to increase agricultural systems’ sustainability.
In this study, the AgroNIT smart farming system is employed to enable the characterization of local climate variability and climate change impact on Prunus persica cultivar ‘Everts’ grown in two different regions during 2019-2022. AgroNIT is an IoT ecosystem designed to incubate and evaluate novel field-based solutions aiming to improve crop management sustainability.
AgroNIT’s highly modular architecture relies on real-time, distributed field data collection and analysis by leveraging energy-autonomous, mesh Wireless Sensor Networks, high-performance Cloud Computing, and tailor-made Decision-Support Systems.
In northern Greece, the AgroNIT testbed comprises 43 IoT-enabled sensing & communication devices deployed at 23 peach orchards across the region.
Herein, two use cases (UC) are presented aiming to show how the crop-specific phenological and irrigation models integrated into AgroNIT can be utilized to a) assess crop phenological responses, and b) determine real crop water needs of the ‘Everts’ peach cultivar grown in the regions of Apsalos (UC1) and Mavrovouni (UC2) in central Macedonia.
UC1 showed higher chilling (CH) accumulation and growing degree hours (GDH) compared to UC2, leading to longer phenophases.
From 2019 to 2022, GDH from bloom to harvest increased in UC1 and decreased in UC2. In UC1, crop evapotranspiration gradually decreased over the summer of 2021-2022. In UC2, remarkably higher values were noted on average in 2020 and 2021 due to the higher mean temperatures.
In both UCs, the crop evapotranspiration patterns were similar between 2019 and 2022. Concluding, AgroNIT enables the assessment of the effect spatial and temporal climate variability has on crop phenological responses, facilitating the development of the appropriate strategies to enhance crop sustainability.
Authors
I. Moutsinas, P. Maletsika, V. Zafeiris, G. Tziokas, A. Serafeim, A. Apostolaras, G.D. Nanos, T. Korakis
Keywords
Prunus persica, wireless sensor networks, decision-support systems, phenology, irrigation, harvesting, sustainability
Groups involved
- Division Plant-Environment Interactions in Field Systems
- Division Precision Horticulture and Engineering
- Working Group Modelling in Fruit Research and Orchard Management
- Working Group Modelling Plant Growth, Environmental Control, Greenhouse Environment
- Division Greenhouse and Indoor Production Horticulture
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