WITHDRAWN: Smart agriculture sensors in IOT: A review

Ratnaparkhi, Sanika Tanmay; Khan, Suvaid; Arya, Chandrakala; Khapre, Shailesh; Singh, Prabhishek; Diwakar, Manoj; Shankar, Achyut

doi:10.1016/j.matpr.2020.11.138

Cited by 66 publications

(35 citation statements)

References 5 publications

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“…This section discusses the challenges and future directions in agricultural-based Cloud, Fog, and Edge-based computing which aims to answer RQ6. Security and privacy [ 35 , 91 , 99 , 100 , 101 , 102 ] require mobility support and widespread geographical distribution through an extended number of nodes [ 91 ], constant and high speed network connectivity [ 91 ], strong need of real-time data processing [ 35 , 91 , 103 , 104 ], better power management [ 35 , 103 , 105 ], high hardware costs [ 35 , 104 , 106 ], and poor internet connectivity in farms [ 7 , 100 , 107 ] are few challenges. The following clearly describe the challenges and possible solutions for them.…”

Section: Challenges and Future Directionsmentioning

confidence: 99%

“…As an alternative, renewable energy sources such as solar power can also be used for the longer life of sensor nodes [ 103 , 109 , 113 ]. High hardware costs [ 35 , 104 , 106 ]: As sensors and other Edge devices continuously collect data and send it to the Cloud in Cloud-based agricultural applications, the process of uploading and analysing data will consume not only hardware resources but also a lot of network resources and Cloud resources. Additionally, it also includes the deployment of IoT in smart farms.…”

Section: Challenges and Future Directionsmentioning

confidence: 99%

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A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture

Kalyani

Collier

2021

Sensors

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Cloud Computing is a well-established paradigm for building service-centric systems. However, ultra-low latency, high bandwidth, security, and real-time analytics are limitations in Cloud Computing when analysing and providing results for a large amount of data. Fog and Edge Computing offer solutions to the limitations of Cloud Computing. The number of agricultural domain applications that use the combination of Cloud, Fog, and Edge is increasing in the last few decades. This article aims to provide a systematic literature review of current works that have been done in Cloud, Fog, and Edge Computing applications in the smart agriculture domain between 2015 and up-to-date. The key objective of this review is to identify all relevant research on new computing paradigms with smart agriculture and propose a new architecture model with the combinations of Cloud–Fog–Edge. Furthermore, it also analyses and examines the agricultural application domains, research approaches, and the application of used combinations. Moreover, this survey discusses the components used in the architecture models and briefly explores the communication protocols used to interact from one layer to another. Finally, the challenges of smart agriculture and future research directions are briefly pointed out in this article.

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Section: Challenges and Future Directionsmentioning

confidence: 99%

Section: Challenges and Future Directionsmentioning

confidence: 99%

A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture

Kalyani

Collier

2021

Sensors

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“…Even though there are designs for medical healthcare, but also in daily life, others researchers made IoT design for smart cities [17], smart agriculture [18], to monitor and control perishable food [18], to keep safe cloths in wardrobe [19].…”

Section: Literature Studymentioning

confidence: 99%

Designing An Iot Based Smart Monitoring and Emergency Alert System for Covid19 Patients

Sabukunze

Setyohadi

Sulistyoningsih

2021

2021 6th International Conference for Convergence in Technology (I2CT)

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Covid-19 has become an issue in medical research since its inception with more than 45million positive patients in the World. IoT is beneficial in Health for effective Monitoring of Covid-19 cases through Networks. The purpose of this study is to suggest an IoT design for smart monitoring and emergency alert system for covid-19 patients which will monitor a patient who is in stage 1 of the disease using sensors like Temperature sensor, Blood Oxygen level and Heart rate sensor and Arduino Uno Controller which will gather information from the patient and send to the IoT server. The authors expect that the proposed system will be reliable and effective in reducing mortality and hospital admissions by saving lives in emergencies and alerting. Further, the system is made to generate message warnings to the nearest hospital compare to the location of the patient within he is under extreme conditions. It can be ended up that Smart monitoring and emergency alert System is important for monitoring covid-19 patients and can alert in case of an abnormal situation of the patient.

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“…This world is exceptionally fast-paced where everything is interlinked between each other. These things that are correlated with the internet make them smart [1]. Unparalleled opportunities are created by the IoT in verticals, namely agriculture, healthcare, industry, along with home automation and also they are quickly spreading [2].…”

Section: Introductionmentioning

confidence: 99%

An Energy Efficient and Bandwidth Aware Optimal Routing for IoT in Agriculture

Jain

Chauhan

Jain

2021

Preprint

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The agriculture that is enabled with the Internet of Things (IoT) in addition to Wireless Sensors Networks (WSN) can aid the farmers in monitoring their product along with conditions in real-time. The indispensable issues that one has to confront with WSN are Energy-saving along with effective bandwidth usage. Lately, for the amelioration of network stability together with lifetime, disparate cluster-centered solutions are modeled. Nevertheless, most techniques are merely modeled in an energy-aware manner and utilize merely a distance parameter aimed at the data communication. It is imperative for satisfying the bandwidth use of IoT. Here, a cluster-centered energy as well as bandwidth aware routing model is proposed for agriculture data on IoT-centered WSN. Optimal Clusters Head (CH) selection as well as clustering is performed on the WSN for carrying out cluster-centered Data Aggregation (DA). The novel chaos mapping and Opposition centered Learning Grasshopper Optimization Algorithm (CO2GA) chooses the collection of CH as of agricultural Sensor Nodes (SN). Next, centered upon the distance betwixt the chosen CH and SN, the clusters are generated. The clusters share the data to their CH, and the Chaos key generated Advanced Encryption Standard with Rivest–Shamir–Adleman (CKAES-RSA) algorithm encrypt the aggregated data of CH. Lastly, the encrypted data of IoT data are shared with the Base Stations (BS) or Sink Node (Sn) by means of the optimal routing. Aimed at Optimal Route Selection (ORS), the paper utilizes a Deep Learning (DL) approach, explicitly crossover and mutation-based optimal Multi-Layer Perceptrons (CM-OMLP), which computes the fitness of hidden layer by regarding energy, bandwidth, trust, delay, along with congestion level. The proposed encryption and routing mechanism’s results are weighted against the first-rate techniques. The proposed work achieves the highest level of security aimed at the IoT data and fulfills the QoS requirements regarding packet delivery, throughput, delay, along with Network LifeTimes (NLT).

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WITHDRAWN: Smart agriculture sensors in IOT: A review

Cited by 66 publications

References 5 publications

A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture

A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture

Designing An Iot Based Smart Monitoring and Emergency Alert System for Covid19 Patients

An Energy Efficient and Bandwidth Aware Optimal Routing for IoT in Agriculture

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