0
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Internet-of-Things for smart irrigation control and crop recommendation using interactive guide-deep model in Agriculture 4.0 applications

&
Received 02 Mar 2023, Accepted 14 Jul 2024, Published online: 31 Jul 2024

References

  • Akhter R, Sofi SA. 2022. Precision agriculture using IoT data analytics and machine learning. J King Saud Univ - Comp Inf Sci. 34(8):5602–5618. doi: 10.1016/j.jksuci.2021.05.013.
  • Alharbi HA, Aldossary M. 2021. Energy-efficient edge-fog-cloud architecture for IoT-based smart agriculture environment. IEEE Access. 9:110480–110492. doi: 10.1109/ACCESS.2021.3101397.
  • Ayaz M, Ammad-Uddin M, Sharif Z, Mansour A, Aggoune EH. 2019. Internet-of-things (IoT)-based smart agriculture: toward making the fields talk. IEEE Access. 7:129551–129583. doi: 10.1109/ACCESS.2019.2932609.
  • Batlles-DelaFuente A, Abad-Segura E, González-Zamar MD, Cortés-García FJ. 2022. An evolutionary approach on the framework of circular economy applied to agriculture. Agronomy. 12(3):620. doi: 10.3390/agronomy12030620.
  • Boursianis AD, Papadopoulou MS, Gotsis A, Wan S, Sarigiannidis P, Nikolaidis S, Goudos SK. 2020. Smart irrigation system for precision agriculture—the AREThOU5A IoT platform. IEEE Sensors J. 21(16):17539–17547. doi: 10.1109/JSEN.2020.3033526.
  • Cama-Pinto D, Damas M, Holgado-Terriza JA, Arrabal-Campos FM, Martínez-Lao JA, Cama-Pinto A, Manzano-Agugliaro F. 2023. A deep learning model of radio wave propagation for precision agriculture and sensor system in greenhouses. Agronomy. 13(1):244.
  • Crop recommendation database. https://www.kaggle.com/datasets/atharvaingle/crop-recommendation-dataset.
  • Dagar R, Som S, Khatri SK. 2018. Smart farming–IoT in agriculture. 2018 International Conference on Inventive Research in Computing Applications (ICIRCA). Coimbatore, India; p. 1052–1056.
  • Dutta T, Bhattacharyya S, Dey S, Platos J. 2020. Border collie optimization. IEEE Access. 8:109177–109197. doi: 10.1109/ACCESS.2020.2999540.
  • Javaid M, Haleem A, Singh RP, Suman R. 2022. Enhancing smart farming through the applications of agriculture 4.0 technologies. Int J Intell Networks. 3:150–164. doi: 10.1016/j.ijin.2022.09.004.
  • Jin XB, Yu XH, Wang XY, Bai YT, Su TL, Kong JL. 2020. Deep learning predictor for sustainable precision agriculture based on internet of things system. Sustainability. 12(4):1433. doi: 10.3390/su12041433.
  • Kashyap PK, Kumar S, Jaiswal A, Prasad M, Gandomi AH. 2021. Towards precision agriculture: IoT-enabled intelligent irrigation systems using deep learning neural network. IEEE Sensors J. 21(16):17479–17491. doi: 10.1109/JSEN.2021.3069266.
  • Manjula E, Djodiltachoumy S. 2022. Efficient prediction of recommended crop variety through soil nutrients using deep learning algorithm. J Postharvest Technol. 10(2):66–80.
  • Maraveas C, Asteris PG, Arvanitis KG, Bartzanas T, Loukatos D. 2023. Application of bio and nature-inspired algorithms in agricultural engineering. Arch Computat Methods Eng. 30(3):1979–2012. doi: 10.1007/s11831-022-09857-x.
  • Pandey C, Sethy PK, Behera SK, Vishwakarma J, Tande V. 2022. Smart agriculture: Technological advancements on agriculture—A systematical review. Deep Learn for Sustain Agriculture. 1–56.
  • Rezk NG, Hemdan EE, Attia AF, El-Sayed A, El-Rashidy MA. 2021. An efficient IoT based smart farming system using machine learning algorithms. Multimed Tools Appl. 80(1):773–797. doi: 10.1007/s11042-020-09740-6.
  • Roy SK, De D. 2022. Genetic algorithm based internet of precision agricultural things (IopaT) for agriculture 4.0. Internet Things. 18:100201. doi: 10.1016/j.iot.2020.100201.
  • Sami M, Khan SQ, Khurram M, Farooq MU, Anjum R, Aziz S, Qureshi R, Sadak F. 2022. A deep learning-based sensor modeling for the smart irrigation system. Agronomy. 12(1):212. doi: 10.3390/agronomy12010212.
  • Sangeetha S, Victoire AA, Shanthakumar P. 2022. Bayesian fuzzy clustering‐based routing protocol in heterogeneous wireless sensor network using fractional border collie optimization. Int J Commun Syst. 35(18):e5341. doi: 10.1002/dac.5341.
  • Sanjeevi P, Prasanna S, Siva Kumar B, Gunasekaran G, Alagiri I, Vijay Anand R. 2020. Precision agriculture and farming using the internet of things based on a wireless sensor network. Trans Emerging Tel Tech. 31(12):e3978. doi: 10.1002/ett.3978.
  • Senapaty MK, Ray A, Padhy N. 2023. IoT-enabled soil nutrient analysis and crop recommendation model for precision agriculture. Computers. 15(3):61. doi: 10.3390/computers12030061.
  • Symeonaki E, Arvanitis K, Piromalis D. 2020. A context-aware middleware cloud approach for integrating precision farming facilities into the IoT toward agriculture 4.0. Appl Sci. 10(3):813. doi: 10.3390/app10030813.
  • Thilakarathne NN, Bakar MS, Abas PE, Yassin H. 2022. A cloud enabled crop recommendation platform for machine learning-driven precision farming. Sensors. 22(16):6299. doi: 10.3390/s22166299.
  • Zhang N, Wang M, Wang N. 2002. Precision agriculture—a worldwide overview. Comp Electron Agriculture. 36(2–3):113–132. doi: 10.1016/S0168-1699(02)00096-0.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.