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CrossVit:提升葡萄种植业的树冠监测管理实践

CrossVit: enhancing canopy monitoring management practices in viticulture.

机构信息

Istituto di Biometeorologia (CNR-IBIMET), Consiglio Nazionale delle Ricerche, Firenze 50145, Italy.

出版信息

Sensors (Basel). 2013 Jun 13;13(6):7652-67. doi: 10.3390/s130607652.

DOI:10.3390/s130607652
PMID:23765273
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3715217/
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.

摘要

一种名为 CrossVit 的新型无线传感器网络(WSN),基于 MEMSIC 产品,已在意大利的两个葡萄园进行了两个生长季节的测试。目的是直接在葡萄园评估新 WSN 的监测性能,并收集空气温度、空气湿度和太阳辐射数据,以支持葡萄园管理实践。WSN 由多个层次组成:主/网关层协调 WSN 并执行数据聚合;农场/服务器层负责在服务器上存储数据、数据处理和图形渲染;节点层基于由 MDA300 传感器板和 Iris 模块组成的外围节点网络,并配备用于空气温度的热敏电阻、用于总辐射和散射辐射的光电二极管,以及用于相对湿度的 HTM2500LF 传感器。通信层次包括:网关和传感器节点之间的 WSN 链接,以及网关和服务器农场层之间的长距离 GSM/GPRS 链接。该系统能够监测葡萄园中的农业气象参数:太阳辐射、空气温度和空气湿度,并检测所应用的冠层处理之间的差异。从监测和系统可靠性的角度考虑,CrossVit 的性能已得到评估:其便利性、成本效益、非侵入性尺寸和低功耗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6231/3715217/0f39e2b88b80/sensors-13-07652f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6231/3715217/650a1d45bb1d/sensors-13-07652f1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6231/3715217/7dc7021b4386/sensors-13-07652f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6231/3715217/14f444ef261b/sensors-13-07652f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6231/3715217/7281fc2b9dde/sensors-13-07652f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6231/3715217/0f39e2b88b80/sensors-13-07652f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6231/3715217/650a1d45bb1d/sensors-13-07652f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6231/3715217/ad31191f4e7e/sensors-13-07652f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6231/3715217/a1648856b5ad/sensors-13-07652f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6231/3715217/7dc7021b4386/sensors-13-07652f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6231/3715217/14f444ef261b/sensors-13-07652f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6231/3715217/7281fc2b9dde/sensors-13-07652f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6231/3715217/0f39e2b88b80/sensors-13-07652f7.jpg

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