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Open AccessArticle

CrossVit: Enhancing Canopy Monitoring Management Practices in Viticulture

1
Istituto di Biometeorologia (CNR-IBIMET), Consiglio Nazionale delle Ricerche, Via G. Caproni 8, Firenze 50145, Italy
2
Dipartimento Scienze Agrarie, Forestali e Alimentari, Università di Torino, Via Leonardo da Vinci 44, Grugliasco (TO) 10095, Italy
3
Centro di Ricerca per la Viticoltura, Consiglio per la Ricerca e la Sperimentazione in Agricoltura, Conegliano (TV) 31015, Italy
*
Author to whom correspondence should be addressed.
Sensors 2013, 13(6), 7652-7667; https://doi.org/10.3390/s130607652
Received: 3 May 2013 / Revised: 5 June 2013 / Accepted: 6 June 2013 / Published: 13 June 2013
(This article belongs to the Section Sensor Networks)
A new wireless sensor network (WSN), called CrossVit, and based on MEMSIC products, has been tested for two growing seasons in two vineyards in Italy. The aims are to evaluate the monitoring performances of the new WSN directly in the vineyard and collect air temperature, air humidity and solar radiation data to support vineyard management practices. The WSN consists of various levels: the Master/Gateway level coordinates the WSN and performs data aggregation; the Farm/Server level takes care of storing data on a server, data processing and graphic rendering; Nodes level is based on a network of peripheral nodes consisting of a MDA300 sensor board and Iris module and equipped with thermistors for air temperature, photodiodes for global and diffuse solar radiation, and an HTM2500LF sensor for relative humidity. The communication levels are: WSN links between gateways and sensor nodes by ZigBee, and long-range GSM/GPRS links between gateways and the server farm level. The system was able to monitor the agrometeorological parameters in the vineyard: solar radiation, air temperature and air humidity, detecting the differences between the canopy treatments applied. The performance of CrossVit, in terms of monitoring and reliability of the system, have been evaluated considering: its handiness, cost-effective, non-invasive dimensions and low power consumption. View Full-Text
Keywords: wireless sensor network; canopy microclimate; ZigBee; viticulture wireless sensor network; canopy microclimate; ZigBee; viticulture
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Matese, A.; Vaccari, F.P.; Tomasi, D.; Di Gennaro, S.F.; Primicerio, J.; Sabatini, F.; Guidoni, S. CrossVit: Enhancing Canopy Monitoring Management Practices in Viticulture. Sensors 2013, 13, 7652-7667.

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