2012 Ninth International Conference on Information Technology - New Generations 2012
DOI: 10.1109/itng.2012.136
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Wireless Sensors Network in the Efficient Management of Greenhouse Crops

Abstract: A Greenhouse is an indoor covered place where plants are grown and cultivated. In the agriculture field, the crops into greenhouse are highly used due that they provide a little micro-environment that can be easier controlled. At this same context, there are some important parameters that should be monitored at a greenhouse in order to achieve good results at the end of the agricultural production. Two of these parameters are precisely the temperature and humidity that are been commonly measured with manual me… Show more

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Cited by 14 publications
(4 citation statements)
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“…A WSN based model using greenhouse crop management techniques for effective yield was proposed by Jimenez et al [9]. The control techniques for green house was proposed by Genda et al [10].…”
Section: Related Workmentioning
confidence: 99%
“…A WSN based model using greenhouse crop management techniques for effective yield was proposed by Jimenez et al [9]. The control techniques for green house was proposed by Genda et al [10].…”
Section: Related Workmentioning
confidence: 99%
“…On the other hand, a Wireless Sensor Network (WSN) with smart irrigation capability monitors the microclimatic parameters around each row of mushrooms and activates suitable pumps for irrigation when the moisture level drops below a safe threshold (Rahali et al, 2011). The WSN is defined as the collection of sensor nodes that perform a specific task and they are representing one of the technological solutions to automatize and improve the management of mushrooms (Jimenez et al, 2012). The drawback of this system lies in its incapability to control the │ 3…”
Section: Introductionmentioning
confidence: 99%
“…It is used for real-time automation irrigation in the field for delivering the precise and accurate amount of water for the crop at each stage of its growing period [5,6]. It may also be used to sense real-time field and environmental conditions such as temperature, relative humidity, leaf wetness, wind directions, and waterlogging conditions [7]. With this information, the users can adjust their strategies to achieve the desired objective of efficient management of all agricultural inputs like water and fertilizers [8].…”
Section: Introductionmentioning
confidence: 99%