Precision agriculture and farming using Internet of Things based on wireless sensor network

Sanjeevi, P.; Prasanna, S.; Kumar, B. Siva; Gunasekaran, G.; Alagiri, I.; Anand, R. S.

doi:10.1002/ett.3978

Cited by 104 publications

(49 citation statements)

References 29 publications

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“…In accordance with the research method, the following sections present problem definition, design of a solution, and an evaluation of the solution. To evaluate the reference architecture, requirements were specified using the recent literature on sustainable agriculture [26][27][28][29][30]. Based on these requirements, a concrete application architecture was derived using the reference architecture.…”

Section: Methodsmentioning

confidence: 99%

“…To evaluate the reference architecture, a set of requirements was extracted from recent papers on sustainable agriculture [26][27][28][29][30]. The high-level requirements address issues on crop yield prediction [27], irrigation management [28], real time variable-rate fertilization [30], and exotic animal infectious diseases monitoring [26]. These diverse highlevel requirements address various data management aspects in sustainable architecture.…”

Section: Validationmentioning

confidence: 99%

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Design of a Data Management Reference Architecture for Sustainable Agriculture

Giray¹,

Çatal

2021

Sustainability

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Effective and efficient data management is crucial for smart farming and precision agriculture. To realize operational efficiency, full automation, and high productivity in agricultural systems, different kinds of data are collected from operational systems using different sensors, stored in different systems, and processed using advanced techniques, such as machine learning and deep learning. Due to the complexity of data management operations, a data management reference architecture is required. While there are different initiatives to design data management reference architectures, a data management reference architecture for sustainable agriculture is missing. In this study, we follow domain scoping, domain modeling, and reference architecture design stages to design the reference architecture for sustainable agriculture. Four case studies were performed to demonstrate the applicability of the reference architecture. This study shows that the proposed data management reference architecture is practical and effective for sustainable agriculture.

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Section: Methodsmentioning

confidence: 99%

Section: Validationmentioning

confidence: 99%

Design of a Data Management Reference Architecture for Sustainable Agriculture

Giray¹,

Çatal

2021

Sustainability

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“…Sanjeevi et al [12] focussed on smart farming and agriculture monitoring using cloud computing, the Internet of Things, and wireless sensor network. In this article, the proposed methodology gives insight into network efficiency, low latency, high SNR, MSE, and more coverage area.…”

Section: Related Workmentioning

confidence: 99%

A Self-Powered, Real-Time, NRF24L01 IoT Based-Cloud Enabled Service For Smart Agriculture Decision-Making System

Raju

Vijayaraghavan

2021

Preprint

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Internet of Things (IoT) based automation has provided sophisticated research and developments in the field of agriculture. In agriculture field production, using environmental and deployment sensors like DHT11, soil moisture, soil temperature, and so on, IoT has been utilised to monitor field conditions and automation in precision agriculture. The environmental parameters, field evaluation, deployment parameters, and shortage of water has become an unresolved task for agriculture monitoring. All of this leads to insufficient production of the agricultural crop. To eradicate the above-mentioned problems, we proposed a system in the using an architectural manner. This system uses an NRF24L01 module with in-built power and low noise amplifiers to enable a long-distance communication for transmission of the field information about the current crop situation to the farmers. This work is investigating an appropriate, reasonable, and applied IoT technology for precision agriculture by considering various applications of agriculture and experiments. The proposed system reduces power consumption, and improves operational efficiency. The proposed system reduces human efforts and also evaluates heat index measurement to monitor the environment. Based on the experiments, the current consumption and life expectancy of the AWMU are determined to be 0.02819 A and 3 days 20 hours 13 minutes and 47 seconds, respectively. Furthermore, the maximum transmission of AWMU is in an environmental location is 200 meters line of sight from the router.

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“…3 However, these benefits of WSN also come with various serious issues like proper utilization of energy resources, security in data transmission, and so on. 5 The security in WSN deployed into the large open network magnifies the security challenges like confidentiality, authenticity and integrity. To ensure the data collected by the sensor nodes is legitimate, message authentication, entity authentication and source authentication are most crucial.…”

Section: Introductionmentioning

confidence: 99%

An improved privacy preserving remote user authentication scheme for agricultural wireless sensor network

Rangwani

Sadhukhan

Ray

et al. 2021

Trans Emerging Tel Tech

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Agriculture is a fundamental pillar of society, bearing a crucial role in shaping the economy of the country and provides huge financial prospects and the possibility of employment to the large mass of the country. Thus, the incorporation of modern technology would lead to amplification in productivity and economic escalation. In this perspective, Wireless Sensor Network (WSN) can provide a greater service by sensing, monitoring and supplying continuous information about climatic conditions like temperature, light, soil moisture, humidity, and so on. These parameters help in increment of productivity in terms of quantity and quality growth in agriculture. However, WSN brings security threats like masquerading, alteration, interference, interception, and so on, that harmfully affect crop production and other agricultural practices. Thus, privacy preservation and security enhancement for agricultural WSN are the major challenges to be conquered. To meet this purpose, a privacy-preserving efficient and secure remote user authentication scheme is introduced in this research work for the application of agricultural WSN. The proposed scheme is formally evaluated using probabilistic Random-Oracle-Model (ROR) for proving the robustness of the scheme. Further, the scheme is simulated using a well-accepted AVISPA tool to show the security strength of it. The performance analysis of our scheme shows that along with its robustness in terms of security, the proposed scheme is more efficient in terms of computation and communication overheads in contrast to other existing schemes. These aforesaid features make the proposed scheme implementable in a practical environment.

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Precision agriculture and farming using Internet of Things based on wireless sensor network

Cited by 104 publications

References 29 publications

Design of a Data Management Reference Architecture for Sustainable Agriculture

Design of a Data Management Reference Architecture for Sustainable Agriculture

A Self-Powered, Real-Time, NRF24L01 IoT Based-Cloud Enabled Service For Smart Agriculture Decision-Making System

An improved privacy preserving remote user authentication scheme for agricultural wireless sensor network

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