2016 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) 2016
DOI: 10.1109/sahcn.2016.7732963
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A Demo of the PEACH IoT-Based Frost Event Prediction System for Precision Agriculture

Abstract: In 2013, 85% of the peach production in the Mendoza region (Argentina) was lost because of frost. In a couple of hours, farmers can lose everything. Handling a frost event is possible, but it is hard to predict when it is going to happen. The goal of the PEACH project is to predict frost events by analyzing measurements from sensors deployed around an orchard. This demo provides an overview of the complete solution we designed and deployed: the low-power wireless network and the back-end system. The low-power … Show more

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Cited by 21 publications
(15 citation statements)
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“…In [59] a remote agricultural monitoring platform has been presented on the basis of monitored data. A conceptual architecture based on cyber systems and software defined setworks has been presented in [60] for precision farming. IoT base Precision farming consist of multiple monitroing and controling applications such as climate conditions monitoring, soil patterns monitoring, pest and crop disease monitoring, irrigation, determine optimal time to plant and harvest and tracking/ tracing.…”
Section: ) Precision Farmingmentioning
confidence: 99%
“…In [59] a remote agricultural monitoring platform has been presented on the basis of monitored data. A conceptual architecture based on cyber systems and software defined setworks has been presented in [60] for precision farming. IoT base Precision farming consist of multiple monitroing and controling applications such as climate conditions monitoring, soil patterns monitoring, pest and crop disease monitoring, irrigation, determine optimal time to plant and harvest and tracking/ tracing.…”
Section: ) Precision Farmingmentioning
confidence: 99%
“…In South Korea, frost warning systems have been deployed using logistic regression and decision trees [20]. In [21], the author had said that in 2013, in Argentina, the frost events have destroyed a large production of peach orchards. Temperature data is collected using a low power wireless mesh network, and then the prediction is performed by using a regression tree [22].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Frosts can be extremely devastating as they are sudden impact. One frost event can ruin entire crops and yields by causing plant floret sterility, affecting the stem development and causing tiller death (K. Brun-Laguna et al, 2016). Most frost events occur during clear and calm nights.…”
Section: Introductionmentioning
confidence: 99%
“…Wu et al 2012 acquired spectral imagery (400-1000 nm) for potted wheat seedlings on 1-2 week intervals from seedling emergence to the occurrence of freezing injury. In 1997 C. JURGENS proposed modified normalized difference vegetation index (mNDVI) index to determine frost damages in wheat based on Landsat TM data (Brun-Laguna et al, 2016). The proposed system consists of an IoT-based network architecture in charge of the acquisition of weather attributes directly taken from the crop field.…”
Section: Introductionmentioning
confidence: 99%