A WiFi based smart wireless sensor network for monitoring an agricultural environment

Mendez, Gerard Rudolph; Yunus, Mohd Amri Md; Mukhopadhyay, Subhas Chandra

doi:10.1109/i2mtc.2012.6229653

Cited by 50 publications

(23 citation statements)

References 6 publications

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“…In [2] has proposed a smart wireless sensor network so the authors design an architecture to data collection from nodes in an agriculture environment. They analyze collected data and display their results to its end users.…”

Section: Related Workmentioning

confidence: 99%

“…Studies on industrial agriculture ranging from climate information, soil information to intelligent irrigation was based on data collection performed by wireless sensors. The wireless system enhances crop productivity and convenience [2]. WSNs collect information from different sensors in large and small networks so end users can get and process data.…”

Section: Introductionmentioning

confidence: 99%

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Wireless Sensor Network and Internet of Things in Precision Agriculture

Kiani¹,

Seyyedabbasi²

2018

ijacsa

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Internet of Things is one of the most popular subjects nowadays where sensors and smart devices facilitate the provision of information and communication. In IoT, one of the main concepts is wireless sensor networks in which data is collected from all the sensors in a network characterized by low power consumption and a wide range of communication. In this study, an architecture to monitor soil moisture, temperature and humidity on small farms is provided. The main motivation for this study is to decrease water consumption whilst increasing productivity on small agricultural farms and precisions on them. This motivation is further propelled by the fact that agriculture is the backbone of some towns and most villages in most of the countries. Furthermore, some countries depend on farming as the main source of income. Putting the above-mentioned factors into consideration, the farm is divided into regions; the proposed system monitors soil moisture, humidity and temperature in the respective regions using wireless sensor networks, internet of things and sends a report to the end user. The report contains, as part of the information, a 10-day weather forecast. We believe that with the above information, the end user (farmer) can more efficiently schedule farm cultivation, harvesting, irrigation, and fertilization.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wireless Sensor Network and Internet of Things in Precision Agriculture

Kiani¹,

Seyyedabbasi²

2018

ijacsa

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“…The majority of these sensor platforms rely on batteries as the main power supply. This is considered the traditional approach in sensor module energy management development [6,7]. Problems with batteries are well known [8,9] and thus research is now directed towards finding energy storage alternatives for use in low power sensor modules.…”

Section: Introductionmentioning

confidence: 99%

Supercapacitors as Guarantors for Energy Sustainability in Low-Power Energy Harvesting Sensor Modules

Purković¹

2019

Exergy and Its Application - Toward Green Energy Production and Sustainable Environment

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Energy harvesting, low-power sensor modules are characterised by their energy independence, power consumption, size, robustness to withstand the environmental conditions, maintenance demand and long term operation. To secure any of these conditions focus has to be put on the device energy reservoir. Traditional approach would reach for the battery and at the very beginning of the development, accept the limitations that go along with it. These limitations in form of high temperature difference dependency, current peaks, limited charge cycles, loss of operating voltage and capacity, soon become constraints in the sensor module life cycle. Answer to these constraints and a guarantor of a long sensor module life cycle is a supercapacitor. An energy storage which does not have any special charging requests, other than ensuring that the maximum voltage is not exceeded, or that a minimum voltage is not reached. Supercapacitors have a low ESR (equivalent series resistance), typically of the order of 100 mΩ. This reduces internal losses during charge and discharge cycles allowing them to handle current surges without the output voltage dropping significantly. Lithium-ion supercapacitors especially have good self-discharge characteristics and retain their voltage for years.

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“…Besides the traditional farming system, a smart wireless sensor network (WSN) was deployed in agrarian fields to collect data [9]. Similarly, a scheme was investigated to employ the WSN to observe and apprehend associated necessities for a single crop in the potato field [2].…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Monitoring and Controlling of Greenhouse: Deployment of Wireless Sensor Networks and Internet-of-Things

Arshad¹,

Saleem²,

Badar³

et al. 2018

Preprint

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Typically, the farmers are using the traditional ways of farming that cannot provide the proper amount of fertilizers and no specific criterion can be set the proper amount of climate parameters. Henceforth, the agricultural field demands up-to-date technology to enhance the desired outputs by deploying automated crop techniques for the better production of crops and plants. In the prescribed context, we have devised an architecture consisting of an embedded system and a wireless sensor network that could be employed to monitor the climatic parameters such as humidity, temperature, carbon dioxide, acidity, soil moisture, and light intensity etc. in a greenhouse. This work is accomplished by manually positioning the different sensor nodes in the greenhouse for collection of climate data which is subsequently forwarded to gateway nodes. Gateway nodes are responsible to send this information to the intended user or an agriculture professional via an internet web browser. The received data trigger the proposed embedded system to automatically proceed a decision by executing suitable actions to adjust an agriculture field with climate parameters. For instance, the climate of a greenhouse is controlled by turning on certain devices including fan, water sprinkler, lights etc. The proposed fruitful system is constructed at lab-scale prototype as a witness to proof the reliability, low-cost and efﬁciency of the proposed design. We consider that the proposed design can be easily implemented at large-scale in future, and will be beneficial for escalation of the profitability, sustainability, and productivity of the agricultural system.

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A WiFi based smart wireless sensor network for monitoring an agricultural environment

Cited by 50 publications

References 6 publications

Wireless Sensor Network and Internet of Things in Precision Agriculture

Wireless Sensor Network and Internet of Things in Precision Agriculture

Supercapacitors as Guarantors for Energy Sustainability in Low-Power Energy Harvesting Sensor Modules

An Intelligent Monitoring and Controlling of Greenhouse: Deployment of Wireless Sensor Networks and Internet-of-Things

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