A functional framework based on big data analytics for smart farming

Rabhi, Loubna; Falih, Noureddine; Afraites, Lekbir; Bouikhalene, Belaid

doi:10.11591/ijeecs.v24.i3.pp1772-1779

Cited by 7 publications

(6 citation statements)

References 19 publications

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“…Rabhi et al [3] briefed that connected agriculture is a relatively new concept that emerged in the age of the internet of things. The outputs of big data may be used in future agriculture in order to increase yield and intelligent decision making.…”

Section: -Literature Reviewmentioning

confidence: 99%

Emerging Technological Methods for Effective Farming by Cloud Computing and IoT

Rajak¹

2022

Emerg Sci J

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Agriculture provides a solution to the vast majority of problems that threaten human existence. When it comes to agriculture, new or contemporary technology can have a significant impact on a number of factors, including how much food is produced and how long it stays edible. The application of best management practices, for instance, is very common these days in the quest to improve agriculture. New hybrids are resistant to illnesses, use fewer pesticides, have natural defenses against pests, and may be grown in methods that minimize the number of diseases and pests that can affect them. Plants are capable of producing oxygen and medicines in addition to the food that they provide. Consequently, agriculture depends on plants that are in good health. A plant needs water, sunlight, and crucial fertilizer in order to receive the nutrients it needs to have a healthy plant. So, it is necessary to keep an eye on the health of the plant. The article discusses various technological solutions that can be implemented to automate the plant monitoring system. The Internet of Things and cloud computing are two technologies that are contributing to the development of intelligent technology by supplanting traditional agricultural practices. This clever device checks on the well-being of the plants. In order to enable intelligent agriculture, the technology relies on sensors that are dependent on IoT sensors. These sensors monitor the temperature, soil moisture, intensity of the sun's light, air quality value of the soil, vibration, and humidity in the immediate environment of the plant. The networking of these sensors ensures that the plant will continue to be healthy and will function in the appropriate manner. The findings that have been obtained up to this point are encouraging for the continuance of this strategy, which results in the highest possible profit for farmers. Doi: 10.28991/ESJ-2022-06-05-07 Full Text: PDF

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Section: -Literature Reviewmentioning

confidence: 99%

Emerging Technological Methods for Effective Farming by Cloud Computing and IoT

Rajak¹

2022

Emerg Sci J

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“…IT Process refers to the Big Data Analytics process. We inspired it by the Functional big data analyticsbased framework for connected agriculture (Rabhi et al, 2021a). It includes Data Collection, Data Aggregation, Data Analytics, and Data Visualization processes.…”

Section: A New Connected Farm Metamodelmentioning

confidence: 99%

“…Besides, IoT enables the collection of huge amounts of agricultural data using sensors. Machine learning can be used by exploiting this data with Big Data and cloud technologies to create a new level of intelligence in agriculture practices (Symeonaki et al, 2020;Rabhi et al, 2021a).…”

Section: -Informational View Of the Extended Metamodelmentioning

confidence: 99%

“…Smart agriculture is a collection of technologies that use computers, sensors, systems, and communication networks to track farm data in real-time and use it for decision-making. A diversity of IT tools are used (Rabhi et al, 2021a) like Hadoop, Hive, Pig, Spark, etc. Among human resources in smart agriculture is a data scientist, he is a person who excels at the practical application of statistics and mathematics to solve practical problems.…”

Section: -Resource View Of the Extended Metamodelmentioning

confidence: 99%

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A Connected farm Metamodeling Using Advanced Information Technologies for an Agriculture 4.0

Rabhi

Jabir

Falih

et al. 2023

AOL

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The agriculture 4.0 revolution is an opportunity for farmers to meet the challenges in food production. It has become necessary to adopt a set of agricultural practices based on advanced technologies following the agriculture 4.0 revolution. This latter enables the creation of added value by combining innovative technologies: precision agriculture, information and communication technology, robotics, and Big Data. As an enterprise, a connected farm is also highly sensitive to strategic changes like organizational changes, changes in objectives, modified variety, new business objects, processes, etc. To strategically control its information system, we propose a metamodeling approach based on the ISO/IS 19440 enterprise meta-model, where we added some new constructs relating to new advanced digital technologies for Smart and Connected agriculture.

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“…Deep learning is quite effective at dealing with such massive amounts of data and can generate highly accurate results. As a result, Internet of Things (IoT), big data analytics, and deep learning are all important to the growth of a high-tech society [22], [28], [74], [77], [89], [92], [93], [101], [103], [110], [114], [126], [149], [152], [155], [183], [188], [202], [232], [265], [318], [352].…”

Section: Big Data Analytics In Iotmentioning

confidence: 99%

Insights on the internet of things: past, present, and future directions

Sutikno

Thalmann

2022

TELKOMNIKA

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The internet of things (IoT) is rapidly expanding and improving operations in a wide range of real-world applications, from consumer IoT and enterprise IoT to manufacturing and industrial IoT (IIoT). Consumer markets, wearable devices, healthcare, smart buildings, agriculture, and smart cities are just a few examples. This paper discusses the current state of the IoT ecosystem, its primary applications and benefits, important architectural stages, some of the problems and challenges it faces, and its future. This paper explains how an appropriate IoT architecture that saves data, analyzes it, and recommends corrective action improves the process's ground reality. The IoT system architecture is divided into three layers: device, gateway, and platform. This then cascades into the four stages of the IoT architectural layout: sensors and actuators; gateways and data acquisition systems; edge IT data processing; and datacenter and cloud, which use high-end apps to collect data, evaluate it, process it, and provide remedial solutions. This elegant combination provides excellent value in automatic action. In the future, IoT will continue to serve as the foundation for many technologies. Machine learning will become more popular in the coming years as IoT networks take center stage in a variety of industries.

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A functional framework based on big data analytics for smart farming

Cited by 7 publications

References 19 publications

Emerging Technological Methods for Effective Farming by Cloud Computing and IoT

Emerging Technological Methods for Effective Farming by Cloud Computing and IoT

A Connected farm Metamodeling Using Advanced Information Technologies for an Agriculture 4.0

Insights on the internet of things: past, present, and future directions

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