Abstract

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.

Highlights

  • Modern viticulture is one of the most promising agricultural sectors where new technologies might be implemented to ensure high quality wine production, low management costs and good yield, to cope with the recent crisis in the sector

  • This paper introduces a new wireless sensor network (WSN), called CrossVit, based on MEMSIC products and tested for two years in a vineyard in Northern Italy

  • The two systems were able to monitor the agrometeorological parameters in the vineyards: solar radiation, air temperature and air humidity, detecting the differences between the canopy treatments applied

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Summary

Introduction

Modern viticulture is one of the most promising agricultural sectors where new technologies might be implemented (i.e., disease control, canopy management) to ensure high quality wine production, low management costs and good yield, to cope with the recent crisis in the sector. Peres et al [12] developed the Intelligent Precision Agriculture Gateway (iPAGAT), designed to provide the necessary middleware between locally deployed sensor networks and a remote location within the whole-farm concept This solar-powered infrastructure runs an aggregation engine that supplies a local database with environmental data gathered by a locally deployed ZigBee wireless sensor network. The aims are to: (i) evaluate the monitoring performances of the new WSN directly in the vineyard; (ii) collect air temperature, air humidity and solar radiation data to support vineyard management, disease control and water management practices; (iii) compare vine canopy microclimate related to different training and trellis systems (i.e., upwards or downwards shoot position) or canopy management practices (i.e., leaf removal, shoot pruning, etc.)

System Deployment and Architecture
Wireless Communication
Gateway
Sensors Equipment
Software Description and Integration
NL Firmware
MGL Firmware
FSL Firmware
Field Experiment
Power Management Performances
Data Transmission Performances
Agricultural Results
Conclusions

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