Cloud based data analysis and monitoring of smart multi-level irrigation system using IoT

Salvi, Sanket; Jain, Sagar; Sanjay, H. A.; Harshita, T. K.; Farhana, Maizatul; Jain, Naveen; Suhas, M V

doi:10.1109/i-smac.2017.8058279

Cited by 49 publications

(31 citation statements)

References 2 publications

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“…Water management is the most researched sub-vertical for the last few years as most countries mainly focus on the utilization of water resources due to its lack of abundance [61]. Irrigation patterns in agriculture influence crop production making irrigation management a central focus to increase productivity [8], [10]. The second most considered sub-vertical is crop management due to the importance of producing food for a growing global population.…”

Section: Discussionmentioning

confidence: 99%

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Adoption of the Internet of Things (IoT) in Agriculture and Smart Farming towards Urban Greening: A Review

Madushanki¹,

Halgamuge²,

Wirasagoda³

et al. 2019

IJACSA

146

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It is essential to increase the productivity of agricultural and farming processes to improve yields and costeffectiveness with new technology such as the Internet of Things (IoT). In particular, IoT can make agricultural and farming industry processes more efficient by reducing human intervention through automation. In this study, the aim to analyze recently developed IoT applications in the agriculture and farming industries to provide an overview of sensor data collections, technologies, and sub-verticals such as water management and crop management. In this review, data is extracted from 60 peer-reviewed scientific publications (2016-2018) with a focus on IoT sub-verticals and sensor data collection for measurements to make accurate decisions. Our results from the reported studies show water management is the highest subvertical (28.08%) followed by crop management (14.60%) then smart farming (10.11%). From the data collection, livestock management and irrigation management resulted in the same percentage (5.61%). In regard to sensor data collection, the highest result was for the measurement of environmental temperature (24.87%) and environmental humidity (19.79%). There are also some other sensor data regarding soil moisture (15.73%) and soil pH (7.61%). Research indicates that of the technologies used in IoT application development, Wi-Fi is the most frequently used (30.27%) followed by mobile technology (21.10%). As per our review of the research, we can conclude that the agricultural sector (76.1%) is researched considerably more than compared to the farming sector (23.8%). This study should be used as a reference for members of the agricultural industry to improve and develop the use of IoT to enhance agricultural production efficiencies. This study also provides recommendations for future research to include IoT systems' scalability, heterogeneity aspects, IoT system architecture, data analysis methods, size or scale of the observed land or agricultural domain, IoT security and threat solutions/protocols, operational technology, data storage, cloud platform, and power supplies.12 | P a g e www.ijacsa.thesai.orgThis review provides an overall picture of currently developed IoT applications in agriculture and farming between 2016 and 2018.

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Section: Discussionmentioning

confidence: 99%

“…As a solution to the existing problems, researchers have focused on smart agricultural and farming automated systems with the help of IoT [7], [8], [9], [10]. IoT is the network of things which identifies elements clearly with the help of software intelligence, sensors and ubiquitous connectivity to the Internet.…”

Section: Introductionmentioning

confidence: 99%

Adoption of the Internet of Things (IoT) in Agriculture and Smart Farming towards Urban Greening: A Review

Madushanki¹,

Halgamuge²,

Wirasagoda³

et al. 2019

IJACSA

146

View full text Add to dashboard Cite

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“…The components engaged are solar panel, microcontroller, numerous transducers, Wi-Fi, Ethernet board, electrical devices with 12v supply. [3] B…”

Section: A Hardware Componentsmentioning

confidence: 99%

“…Since transducer nodes can be easily added or removed from a system, overall costs can often be reduced as the monitoring needs can vary from season to season. [3] This paper deals with intelligent solar based farm monitoring systems incorporated with wireless internet of things devices. In an endeavour to abet agrarian fabrication, the proposed system was fit for estimating the soil conditions, temperature, moisture, and charge left on the battery.…”

Section: Introductionmentioning

confidence: 99%

“…Appropriate to govern how effectual vitality garnering can be in a network, juxtaposition is proffered betwixt two homogeneous transducer junctions, where one has potential to produce solar power to levy its battery. The predominant bequests of this work are as accompanied: [3]  A network incorporated with framework hubs was depicted for intelligent farm monitoring applications with energy congregating potentiality.  Agronomist is able to effortlessly examine the habitat surroundings expeditiously by the assistance of web applications.…”

Section: Introductionmentioning

confidence: 99%

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An Intelligent Solar Based Farm Monitoring using Cloud Based Online Access Control Systems

B*¹,

Kumar²,

Meena³

2019

IJRTE

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Agronomy is the cornerstone of nation encountering untimely obstacles in the present scenario. Transducer nexus and their deployment in Farm Monitoring is the major utility for the nation. As agriculture is utmost provenance of nourishment, as there is a necessity to lessen the tariff and human interventions by enlarging productivity. This paper deals with advancement of IoT which lessens the endeavors of human by machine to machine interactions (corroborate through cloud based networks).The consumption of solar power by various devices can be monitored with the help of microcontroller interfaced to sensors and transmit the data through Wi-Fi devices which is stored in cloud based system. Process of irrigation is carried out in various methods using transducers which results in the distinguishing of soil moisture and temperature along with humidity conditions and it also authorizes the user to supervise the gadgets from remote locations using cloud computing systems provided with procured login credentials allocates access to know the status of all the installations through Laptop/PC/Mobile/Tablet.[1]

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Systematic review of Internet of Things in smart farming

Terence

Geethanjali

2020

Trans Emerging Tel Tech

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Agriculture unquestionably is one of the traditional occupations, which feeds all mankind in the world. Continuous changes are happening in the agricultural field to increase production. Researchers are applying various techniques to improve farming methods. To monitor plants even from remote places and to improve the yield of plants, Internet of Things (IoT), which is a boon in today's world, is applied in farming, in general, known as smart farming. Smart farming is a way where the farmers can monitor their field and manage farming activities from remote places. This reduces man power and increases resource utilization in farming. In this article, we have studied the architecture of smart farming and studied different smart farming techniques, also we have classified smart farming techniques into three categories, namely, IoT-based agricultural monitoring and controlling system, automatic irrigation system, and plant disease monitoring system. The review for the article is selected based on the systematic literature review method, and articles published from 2011 to 2019 are considered for review. Different IoT technologies such as sensors, gateway, communication system, user interface and experiment nature, plant type, disease type, advantages, and limitations are also reviewed. Future research direction and challenges in smart farming techniques are also discussed. Trans Emerging Tel Tech. 2020;31:e3958. wileyonlinelibrary.com/journal/ett Atzori et al 16 presented a survey on IoT techniques. In this article, the architecture, applications, and challenges of IoT technologies were discussed. Various environmental and agricultural monitoring applications were discussed. Zhang et al 17 projected various agricultural data transmission methods in his review article, namely, voice information transmission, short message service (SMS) information transmission, online information transmission, video conference information transmission, and multichannel-based information transmission techniques. Case studies, features, applications, examples, and limitations of various information transmission techniques were discussed. Kamilaris et al 18 projected survey on big data analysis in agriculture. In this article, 34 agriculture works were considered for the study and different features such as tools applied, big data algorithm used, problem and proposed solution implemented, and data used were discussed. The type of plants and experimental duration and advantages and limitation of algorithms were missing. Talavera et al 14 reviewed IoT applications in environment and agroindustrial system. The authors discussed about various IoT techniques involved in monitoring, communication, logistics, energy and resource management in environment monitoring, and agroindustrial system. In this study, the authors approached all the IoT techniques with following two questions: what is the primary technical solution of IoT in environmental monitoring and agroindustrial system and which methodology and IoT components such as sensors, actuato...

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Cloud based data analysis and monitoring of smart multi-level irrigation system using IoT

Cited by 49 publications

References 2 publications

Adoption of the Internet of Things (IoT) in Agriculture and Smart Farming towards Urban Greening: A Review

Adoption of the Internet of Things (IoT) in Agriculture and Smart Farming towards Urban Greening: A Review

An Intelligent Solar Based Farm Monitoring using Cloud Based Online Access Control Systems

Systematic review of Internet of Things in smart farming

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