A Wireless Sensor Network for Vineyard Monitoring That Uses Image Processing

Sensors

Jaime Lloret¹  Ignacio Bosch²  Sandra Sendra¹ 

[1] Integrated Management Coastal Research Institute, Universidad Politécnica de Valencia, C/Paranimf, n° 1, 46730, Grao de Gandia, Spain; E-Mail:;Institute of Telecommunications and Multimedia Applications (iTEAM), Universidad Politécnica de Valencia, Camino Vera n/n, 46022, Valencia, Spain; E-Mails:

关键词: Wireless Sensor Network;    image sensor;    image processing;    vineyard monitoring;   

DOI  :  10.3390/s110606165

来源: mdpi

【 摘 要 】

The first step to detect when a vineyard has any type of deficiency, pest or disease is to observe its stems, its grapes and/or its leaves. To place a sensor in each leaf of every vineyard is obviously not feasible in terms of cost and deployment. We should thus look for new methods to detect these symptoms precisely and economically. In this paper, we present a wireless sensor network where each sensor node takes images from the field and internally uses image processing techniques to detect any unusual status in the leaves. This symptom could be caused by a deficiency, pest, disease or other harmful agent. When it is detected, the sensor node sends a message to a sink node through the wireless sensor network in order to notify the problem to the farmer. The wireless sensor uses the IEEE 802.11 a/b/g/n standard, which allows connections from large distances in open air. This paper describes the wireless sensor network design, the wireless sensor deployment, how the node processes the images in order to monitor the vineyard, and the sensor network traffic obtained from a test bed performed in a flat vineyard in Spain. Although the system is not able to distinguish between deficiency, pest, disease or other harmful agents, a symptoms image database and a neuronal network could be added in order learn from the experience and provide an accurate problem diagnosis.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.