Field Monitoring and Automation Using IOT in Agriculture Domain

Mohanraj, I.; Ashokumar, Kirthika; Naren, J.

doi:10.1016/j.procs.2016.07.275

Cited by 216 publications

(97 citation statements)

References 3 publications

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“…The SCL utilizes energy similar to as in Equation (3) to receive data from CLs. It is denoted by E SCL_Rx as shown by the second term in Equation (5). The energy utilized to transmit data from SCL to sink is similar to as in Equation (2).…”

Section: Literature Reviewmentioning

confidence: 99%

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Fuzzy logic–based distributed clustering protocol to improve energy efficiency and stability of wireless smart sensor networks for farmland monitoring systems

Rajput

Kumaravelu

2019

Int J Communication

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Wireless smart sensor networks (WSSNs) are emerging as the physical backbone of the internet of things (IoT) technology. On the basis of the IoT platform, web-based systems and services are been developing such as esurveillance, industrial-IoT, and precision agriculture. For farmland monitoring systems, WSSNs need to be scalable in terms of coverage area. Sensor nodes are energy-constrained devices, and hence, many energy-efficient clustering protocols are developed in the literature. But these methods overload the cluster leaders (CLs) with cluster computation and data communication costs. An improper CL selection may lead to the early death of such nodes and hence does not prolong the network lifetime stability. We propose a fuzzy logic (FL)-based distributed clustering protocol to enhance the energy efficiency of WSSN while maximizing the coverage area. The load of CLs is shared by originators and super-CLs (SCLs) selected in the network. The wireless link and received signal strength (RSS) are greatly affected by environmental conditions and thus cannot be considered as ideal network parameters. We use FL systems to tackle the uncertainty of such network parameters. The proposed protocol is simulated for different scalable WSSNs. The results indicate that the proposed protocol provides better lifetime stability than the recent conventional protocols. The functionalities of the protocol are proposed considering the recent wireless standards. Hence, the proposed protocol can be suitably implemented for farmland monitoring systems. KEYWORDSfarmland monitoring, fuzzy logic (FL), network lifetime stability (NLS), originator node, super-cluster leader (SCL)

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Section: Literature Reviewmentioning

confidence: 99%

“…Precision agriculture focuses on system development for agro-meteorology, drought assessment, soil monitoring, etc. [3][4][5] Nodes monitor crop growth and the current situations of the farmlands for better harvest and productivity. Hence, there is a tremendous scope to develop WSSNs for the improvement of agrarian processes.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic–based distributed clustering protocol to improve energy efficiency and stability of wireless smart sensor networks for farmland monitoring systems

Rajput

Kumaravelu

2019

Int J Communication

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“…[1]proposes an e-Agriculture Application based on the framework consisting of KMKnowledge base and Monitoring modules. They have demonstrated Monitoring modules using various sensors for which the inputs are fed from Knowledge base.…”

Section: IImentioning

confidence: 99%

“…Evapotranspiration method is used to calculate the water need of a plant per day with devised algorithm's help. A comparative study was made between various application available with current developed system taking various aspects into account like knowledge base, monitoring modules, efficiency and reliability [1]. …”

Section: IImentioning

confidence: 99%

A Survey on Advancements in Agriculture and Food Technologies

Kotame¹

2017

IJRASET

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Before some year maximum percentage of Indian economy used to come from agriculture. But since few years economic contribution of agriculture to India's GDP (gross domestic product) is declining slowly with the country's broad based economic growth. Despite of that agriculture is still demographically the broadest economic sector and plays a significant role in the overall socioeconomic fabric of India. The paper presents various techniques that can be used by the farmer in order to increase the productivity of their crops and there in an increase the capital. One of which is an agricultural application which can help farmers to take profitable decision's and provides a farmer important information which is needed during the entire farming cycle. Usually along with some static information like some primary knowledge of the crop, there is also need of dynamic information such as market price of products and current production level, this can be provided with the help of agriculture application. Now a day's world is getting automated by using advancement's in technology same is needed in agricultural field. This paper presents the use of ICT (Information and communication technology) in the agriculture sector which shows the way to the farmer in rural areas to change some of the traditional techniques. This paper presents some technologies which reduces the flaws of conventional agriculture by using advanced water resources like various irrigation techniques and reduce the cost of labour.

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“…Agricultural insurance is an invaluable protective tool used by many developed countries today. [6][7] Fig. 2 shows the framework for corn insurance.…”

Section: Transforming the Government Subsidies And Macroscopic Contromentioning

confidence: 99%

Using Financial Control to Answer Dilemma in Chinese Corn Market

Yu¹,

Zhang²,

Yu³

2017

dtssehs

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Abstract. There are two large issues looming over the Chinese market for corn; low profit margins and market fluctuation. Analysis of the industrial market allow us to see that the rising costs and excess of supply create a problem that makes the future of the Chinese corn market look bleak. While national policy supports subsidies of the production costs, it does not show any sort of alleviation of the market crisis. The Chinese government ought to use the powers of big data and internet of things to increase the effectiveness of subsidies by transitioning into insurance compensation for farmers. Financial controls like futures and stock should be used to protect against market fluctuations.

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Field Monitoring and Automation Using IOT in Agriculture Domain

Cited by 216 publications

References 3 publications

Fuzzy logic–based distributed clustering protocol to improve energy efficiency and stability of wireless smart sensor networks for farmland monitoring systems

Fuzzy logic–based distributed clustering protocol to improve energy efficiency and stability of wireless smart sensor networks for farmland monitoring systems

A Survey on Advancements in Agriculture and Food Technologies

Using Financial Control to Answer Dilemma in Chinese Corn Market

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