Smart City Gnosys

Smart city article details

Title Internet Of Things And Dew Computing-Based System For Smart Agriculture
ID_Doc 32933
Authors Bera S.; Dey T.; Ghosh S.; Mukherjee A.
Year 2024
Published Internet of Things, 2024
DOI http://dx.doi.org/10.1007/978-981-99-4590-0_14
Abstract Internet of Things has revolutionised our daily life by providing varied smart applications. Smart healthcare, smart home monitoring, smart city, smart retail, etc., are various sectors where Internet of Things serves as the principal element. Agriculture is one of the significant sectors of a country that also seeks smart solutions. The use of Internet of Things in agriculture has become popular in the last few years. In this chapter, we discuss the use of Internet of Things in smart agriculture along with the use of dew computing. The dew computing paradigm is able to provide access to the data even offline. The architecture of dew computing-based smart agriculture has been demonstrated. Various machine learning algorithms used for data analysis have been discussed. The advantage of using dew computing over the conventional cloud-only system, edge/fog computing-based system, are also highlighted in this chapter. From the simulation results, we observe that the dew computing-based paradigm has approximately 40% and 55% lower latency than the edge-based and cloud-only paradigms, respectively. © 2024, Springer Science and Business Media Deutschland GmbH. All rights reserved.
Author Keywords Agriculture; Dew computing; Internet of things; Latency; Machine learning


Similar Articles

Id Similarity Authors Title Published
1709 View0.89Singh G.; Singh J.A Fog Computing Based Agriculture-Iot Framework For Detection Of Alert Conditions And Effective Crop ProtectionProceedings - 5th International Conference on Smart Systems and Inventive Technology, ICSSIT 2023 (2023)
48406 View0.872Pyingkodi M.; Thenmozhi K.; Nanthini K.; Karthikeyan M.; Palarimath S.; Erajavignesh V.; Kumar G.B.A.Sensor Based Smart Agriculture With Iot Technologies: A Review2022 International Conference on Computer Communication and Informatics, ICCCI 2022 (2022)
42661 View0.87Akhter R.; Sofi S.A.Precision Agriculture Using Iot Data Analytics And Machine LearningJournal of King Saud University - Computer and Information Sciences, 34, 8 (2022)
19845 View0.869Tyagi A.K.Dew Computing: State Of The Art, Opportunities, And Research ChallengesMachine Learning Algorithms Using Scikit and TensorFlow Environments (2023)
57462 View0.866Nicolas C.; Naila B.; Amar R.-C.Tinyml Smart Sensor For Energy Saving In Internet Of Things Precision Agriculture PlatformInternational Conference on Ubiquitous and Future Networks, ICUFN, 2022-July (2022)
7720 View0.861Rokade A.I.; Kadu A.D.; Belsare K.S.An Autonomous Smart Farming System For Computational Data Analytics Using IotJournal of Physics: Conference Series, 2327, 1 (2022)
50885 View0.861Rathore N.; Rajavat A.Smart Farming Based On Iot-Edge Computing: Applying Machine Learning Models For Disease And Irrigation Water Requirement Prediction In Potato Crop Using Containerized MicroservicesPrecision Agriculture for Sustainability: Use of Smart Sensors, Actuators, and Decision Support Systems (2024)
50886 View0.861Rathore N.; Naik R.R.; Gautam S.; Nahta R.; Jain S.Smart Farming Based On Iot-Edge Computing: Exploiting Microservices’ Architecture For Service DecompositionLecture Notes in Networks and Systems, 997 LNNS (2024)
33901 View0.861Mahalakshmi J.; Kuppusamy K.; Kaleeswari C.; Maheswari P.Iot Sensor-Based Smart Agricultural SystemLecture Notes on Multidisciplinary Industrial Engineering, Part F248 (2020)
33552 View0.86Mohapatra K.; Singh D.; Biswal A.K.Ioat-Based Smart Farming TechnologyProceedings of 2023 IEEE 2nd International Conference on Industrial Electronics: Developments and Applications, ICIDeA 2023 (2023)