Basic guidelines for deploying Wireless Sensor Networks in agriculture

Mampentzidou, Ioanna; Karapistoli, Eirini; Economides, Anastasios A.

doi:10.1109/icumt.2012.6459783

Cited by 19 publications

(11 citation statements)

References 34 publications

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“…The Temperature sensor detects the environment temperature in o C, it gives the proportional voltage to the controller. If the temperature level is above the pre-defined level, the shed will be opened to provide shade [1]. The Soil-Moisture sensor used in this system detects the soil water content and it gives the proportional information to the controller.…”

Section: 1iot (Internet Of Things)mentioning

confidence: 99%

Design of Smart Bio-Shed Using IoT with Raspberry PI

2019

IJRTE

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Wireless sensor Networks(WSN)are used in Agriculture sector to provide good production chain to meet the requirements of quality and precision. This proposed system describes the development of smart Bio-shed using Raspberry pi and sensors. This system monitors the soil moisture content, water level, Animal detection in the crop, precision agriculture, water pH level and agriculture products storage. By using this proposed system, we can monitor and maintain the farm at any place in the world through the internet. We used different sensors in this system to monitor the crop. The microcontroller controls the whole system. With the help of this system, modern technologies and new ideas can be implemented in the farm sector of our country. With the help of farming website, the farmer can monitor his farm at any place in the world. So that this system reduces the risks present in irrigation sector. This idea motivates the many entrepreneurs to invest in the agricultural sector.

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Section: 1iot (Internet Of Things)mentioning

confidence: 99%

Design of Smart Bio-Shed Using IoT with Raspberry PI

2019

IJRTE

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“…In fact, many parameters must be considered to choose the most beneficial deployment, as the crops characteristics, the micro meteorological parameters, the sensors and nodes specification and obviously the farmer's budget. According to a generic guide proposed in [15] the coverage of the sensor nodes in agricultural WSN must be dense. By this way, all the required measurements can be gathered to have reliable knowledge of the monitored area.…”

Section: A Deployment Strategymentioning

confidence: 99%

Drip Irrigation System using Wireless Sensor Networks

Bennis

Fouchal

Zytoune

et al. 2015

Annals of Computer Science and Information Systems

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Abstract-Nowadays, adopting an optimized irrigation system has become a necessity due to the lack of the world water resource. Moreover, many researchers have treated this issue to improve the irrigation system by coupling the novel technologies from the information and communication field with the agricultural practices. The Wireless Sensor and Actuators Networks (WSANs) present a great example of this fusion. In this paper, we present a model architecture for a drip irrigation system using the WSANs. Our model includes the soil moisture, temperature and pressure sensors to monitor the irrigation operations. Specifically, we take into account the case where a system malfunction occurs, as when the pipes burst or the emitters block. Also, we differentiate two main traffic levels for the information transmitted by the WSAN, and we use an adequate priority-based routing protocol to achieve high QoS performance. Simulations conducted over the NS-2 simulator show promising results in terms of delay and Packet Delivery Ratio (PDR), mainly for the priority traffic.

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“…First scenario has rigid hardware and software specific tasks assigned to take actions. In case of second scenario, facilitator / stakeholder have very few capabilities as the sensing system functionalities are dedicated to data collection [13].…”

Section: Introductionmentioning

confidence: 99%

KrishiSense: A semantically aware web enabled wireless sensor network system for precision agriculture applications

Sawant

Adinarayana

Durbha

2014

2014 IEEE Geoscience and Remote Sensing Symposium

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With advances in sensing systems attempts are continuously being made to design Internet of Things (IoT) based interoperable sensing systems. The important issues (water, pest / disease, nutrient management, etc.) pertaining to cropweather-soil continuum can be addressed through high resolution monitoring of agro-meteorological parameters. Presently the designed sensing systems have syntactic and semantic heterogeneity and face underlying limitations for achieving interoperability among these distributed sensing systems. In this study an attempt has been made to develop KrishiSense. A semantically aware web enabled wireless sensing system for precision agriculture applications. Through integration of Open Geospatial Consortium (OGC) specified Sensor Web Enablement (SWE) standards on sensing system has enabled the interoperability between different standardized sensing systems. KrishiSense acts as interconnection between multiple users (researchers / scientists, farmers and extension community) through multiple protocols and distributed web connected platforms, thus facilitating human participatory sensing.Index Terms-Internet of Things, interoperability, precision agriculture, Sensor Web Enablement, syntactic and semantic heterogeneity.

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Basic guidelines for deploying Wireless Sensor Networks in agriculture

Cited by 19 publications

References 34 publications

Design of Smart Bio-Shed Using IoT with Raspberry PI

Design of Smart Bio-Shed Using IoT with Raspberry PI

Drip Irrigation System using Wireless Sensor Networks

KrishiSense: A semantically aware web enabled wireless sensor network system for precision agriculture applications

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