207
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Effects of Internet of things (IoT) on performance of agricultural in China: A case study

ORCID Icon, , , , &
Pages 6466-6482 | Received 22 Nov 2021, Accepted 21 Jun 2022, Published online: 18 Jul 2022

References

  • Abodayeh, K., A. Raza, M. S. Arif, M. Rafiq, M. Bibi, M. Mohsin, et al. 2020. Stochastic numerical analysis for impact of heavy alcohol consumption on transmission dynamics of gonorrhoea epidemic. Computers, Materials & Continua. 62(3):1125–42. doi:10.32604/cmc.2020.08885.
  • Ahirwar, M. K., A. Bansal, and P. K. Shukla. 2019. Opinion on different classification algorithms used in the internet of things environment for large data set. International Journal of Organizational & Collective Intelligence 9 (1):51–60. doi:10.4018/IJOCI.2019010104.
  • Alreshidi, E. 2019. Smart Sustainable Agriculture (SSA) solution underpinned by Internet of Things (IoT) and Artificial Intelligence (AI). International Journal of Advanced Computer Science and Applications 10 (5):93–102. doi:10.14569/IJACSA.2019.0100513.
  • Alzu’Bi, S., B. Hawashin, M. Mujahed, Y. Jararweh, B. B. Gupta, et al. 2019. An efficient employment of internet of multimedia things in smart and future agriculture. Multimedia Tools and Applications. 78(20):29581–605. doi:10.1007/s11042-019-7367-0.
  • Babar, M., M. S. Khan, U. Habib, B. Shah, F. Ali, and D. Song, 2021. Scalable edge computing for IoT and multimedia applications using machine learning. Human-centric Computing and Information Sciences, 11.
  • Berbel, J., A. Expó Sito, C. Gutié rrez-Martín, and L. Mateos. 2019. Effects of the irrigation modernization in Spain 2002–2015. Water Resources Management 33 (5):1835–49. doi:10.1007/s11269-019-02215-w.
  • Carrillo, A. L., and J. A. Falgueras. 2020. Proposal and testing goals-guided interaction for occasional users. Human-centric Computing and Information Sciences 10 (1):1–21. doi:10.1186/s13673-020-0209-2.
  • Cheng C and Wang L. (2022). How companies configure digital innovation attributes for business model innovation? A configurational view. Technovation, 112 102398 10.1016/j.technovation.2021.102398
  • Cheng M, Cui Y, Yan X, Zhang R, Wang J and Wang X. (2022). Effect of dual-modified cassava starches on intelligent packaging films containing red cabbage extracts. Food Hydrocolloids, 124 107225 10.1016/j.foodhyd.2021.107225
  • Choi Y, Wang J, Zhu Y and Lai W. (2021). Students’ Perception and Expectation towards Pharmacy Education: A Qualitative Study of Pharmacy Students in a Developing Country. IJPER, 55(1), 63–69. 10.5530/ijper.55.1.9
  • D’Amato, D., and J. Korhonen. 2021. Integrating the green economy, circular economy and bioeconomy in a strategic sustainability framework. Ecological Economics 188:107143. doi:10.1016/j.ecolecon.2021.107143.
  • Dwivedi, A., D. Agrawal, A. Jha, M. Gastaldi, S. K. Paul, and I. D’Adamo. 2021. Addressing the challenges to sustainable initiatives in value chain flexibility: implications for sustainable development goals. Global Journal of Flexible Systems Management. 22 (S2):179–97. In press. doi:10.1007/s40171-021-00288-4.
  • Ferraris, D., C. Fernandez-Gago, and J. Lopez. 2020. A model-driven approach to ensure trust in the IoT. Human-centric Computing and Information Sciences 10 (1):1–33. doi:10.1186/s13673-020-00257-3.
  • Finger, R., S. M. Swinton, N. E. Benni, and A. Walter. 2019. Precision farming at the nexus of agricultural production and the environment. Annual Review of Resource Economics 11 (1):313–35. doi:10.1146/annurev-resource-100518-093929.
  • Garca-Beltrn, A., J. L. Nieves, J. Hernndez-Andrs, and J. Romero. 1998. Linear bases for spectral reflectance functions of acrylic paints. Color Research & Application 23 (1):39–45. doi:10.1002/(SICI)1520-6378(199802)23:1<39::AID-COL6>3.0.CO;2-4.
  • Garcia-Muiña, F. E., R. González-Sánchez, A. M. Ferrari, and D. Settembre-Blundo. 2018. The paradigms of Industry 4.0 and circular economy as enabling drivers for the competitiveness of businesses and territories: The case of an Italian ceramic tiles manufacturing company. Social Sciences 7 (12):255. doi:10.3390/socsci7120255.
  • Gari, S. R., C. E. Ortiz Guerrero, B. A-Uribe, J. D. Icely, and A. Newton. 2018. A DPSIR-analysis of water uses and related water quality issues in the Colombian alto and medio dagua community council. Water Science 32 (2):318–37. doi:10.1016/j.wsj.2018.06.001.
  • Gaur, L., G. Singh, A. Solanki, N. Z. Jhanjhi, U. Bhatia, S. Sharma, S. Verma, N. Petrović, F. I. Muhammad, and W. Kim. 2021. Disposition of youth in predicting sustainable development goals using the neuro-fuzzy and random forest algorithms. Human-Centric Computing and Information Sciences 11:NA.
  • Giungato, P., R. Rana, A. Tarabella, and C. Tricase. 2017. current trends in sustainability of bitcoins and related blockchain technology. Sustainability 9 (12):2214. doi:10.3390/su9122214.
  • Guo, X., H. Zhang, L. Ye, and S. Li. 2020. TDBRNN: An approach to learning users’ intention to legal consultation with normalized tensor decomposition and BI-LSTM. Computers, Materials & Continua 63 (1):315–36. doi:10.32604/cmc.2020.07506.
  • Hardeberg, J. Y., F. Schmitt, and H. Brettel. 2002. Multispectral color image capture using a liquid crystal tunable filter. Optical Engineering 41:2533–48.
  • Harfouche, A. L., D. A. Jacobson, D. Kainer, J. C. Romero, A. H. Harfouche, G. S. Mugnozza, M. Moshelion, G. A. Tuskan, J. J. B. Keurentjes, A. Altman, et al. 2019. Accelerating climate resilient plant breeding by applying next-generation artificial intelligence. Trends in Biotechnology. 37(11):1217–35. doi:10.1016/j.tibtech.2019.05.007.
  • He, B., and T. Li. 2021. An offloading scheduling strategy with minimized power overhead for internet of vehicles based on mobile edge computing. Journal of Information Processing Systems 17 (3):489–504.
  • He G, Liu X and Cui Z. (2021). Achieving global food security by focusing on nitrogen efficiency potentials and local production. Global Food Security, 29 100536 10.1016/j.gfs.2021.100536
  • Hukkinen, J. I., J. T. Eronen, N. Janasik, S. Kuikka, A. Lehikoinen, P. D. Lund, H. Räisänen, and M. J. Virtanen. 2022. The policy operations room: Analyzing path-dependent decision-making in wicked socio-ecological disruptions. Safety Science 146:105567. doi:10.1016/j.ssci.2021.105567.
  • Jiao, H., W. Ding, and X. Wang. 2021. Supply chain trust evaluation model based on improved chain iteration method. Journal of Information Processing Systems 17 (1):136–50.
  • Jiren, T. S., I. Dorresteijn, J. Schultner, and J. Fischer. 2018. The governance of land use strategies: Institutional and social dimensions of land sparing and land sharing. Conservation Letters 11 (3):1–8. doi:10.1111/conl.12429.
  • Khosla, R., K. Fleming, J. A. Delgado, T. M. Shaver, and D. G. Westfall. 2002. Use of site-specific management zones to improve nitrogen management for precision agriculture. Journal of Soil and Water Conservation 57 (6):513–18.
  • Kim, M., K. Kim, and J. H. Kim. 2021. Cost modeling for analyzing network performance of iot protocols in blockchain-based IoT, 11. United States: Human-centric Computing and Information Sciences.
  • Kim, S., C. Quiroz-Arita, E. A. Monroe, A. Siccardi, J. Mitchell, N. Huysman, and R. W. Davis. 2021. Application of attached algae flow-ways for coupling biomass production with the utilization of dilute non-point source nutrients in the Upper Laguna Madre, TX. Water Research 191:116816. doi:10.1016/j.watres.2021.116816.
  • Kubacka, M., S. Bródka, and A. Macias. 2016. Selecting agri-environmental indicators for monitoring and assessment of environmental management in the example of landscape parks in Poland. Ecological Indicators 71:377–87. doi:10.1016/j.ecolind.2016.07.004.
  • Lee, S., and D. Park. 2021a. Adaptive ECG signal compression method based on look-ahead linear approximation for ultra long-term operating of healthcare IoT devices (SCI). Human-centric Computing and Information Sciences 11:30.
  • Lee, S., and D. Park. 2021b. A real-time abnormal beat detection method using a template cluster for the ECG diagnosis of IoT devices, 11. United States: Human-centric Computing and Information Sciences.
  • Li, G., and K. Yang. 2021. Study on the data processing of the IOT sensor network based on hadoop cloud platform and TWLGA scheduling algorithm. arXiv preprint arXiv:2201.11515.
  • Liao, Z., J. Peng, J. Huang, J. Wang, J. Wang, P. K. Sharma, and U. Ghosh. 2020. Distributed probabilistic offloading in edge computing for 6g-enabled massive internet of things. IEEE Internet of Things Journal 8 (7):5298–308. doi:10.1109/JIOT.2020.3033298.
  • Liu, S., and W. Zhang. 2020. Application of the fuzzy neural network algorithm in the exploration of the agricultural products e-commerce path. Intelligent Automation & Soft Computing 26 (3):569–75. doi:10.32604/iasc.2020.013935.
  • Lonkila, A., and M. Kaljonen. 2021. Promises of meat and milk alternatives: An integrative literature review on emergent research themes. Agriculture and Human Values 38 (3):625–39. doi:10.1007/s10460-020-10184-9.
  • Lütkehaus, H., C. Pade, M. Oswald, U. Brand, T. Naegler, and T. Vogt. 2022. Urte brand, tobias naegler, thomas vogt. Measuring raw-material criticality of product systems through an economic product importance indicator: A case study of battery-electric vehicles. The International Journal of Life Cycle Assessment 27 (1):122–37. doi:10.1007/s11367-021-02002-z.
  • Mahmoudabadi, A., and S. Fa Rajzadeh. 2018. Does internet of things effect on sustainable development? Investigation through intermediate applications. Urban Studies and Public Administration 1 (2):172. doi:10.22158/uspa.v1n2p172.
  • Nicolae, I., C. Viespe, D. Miu, and A. Marcu. 2022. Analyte discrimination by SAW sensor variable loop amplification probing. Sensors and Actuators. B, Chemical 358:131480. doi:10.1016/j.snb.2022.131480.
  • Qiu L, He L, Lu H and Liang D. (2022). Pumped hydropower storage potential and its contribution to hybrid renewable energy co-development: A case study in the Qinghai-Tibet Plateau. Journal of Energy Storage, 51 104447 10.1016/j.est.2022.104447
  • Qiu L, He L, Lu H and Liang D. (2022). Systematic potential analysis on renewable energy centralized co-development at high altitude: A case study in Qinghai-Tibet plateau. Energy Conversion and Management, 267 115879 10.1016/j.enconman.2022.115879
  • Quandt, A., J. D. Salerno, J. C. Neff, T. D. Baird, J. E. Herrick, J. T. McCabe, E. Xu, and J. Hartter, et al. 2020. Mobile phone use is associated with higher smallholder agricultural productivity in Tanzania, East Africa. PLoS ONE. 15(8):e0237337. doi:10.1371/journal.pone.0237337.
  • Rad, M. M., A. M. Rahmani, A. Sahafi, and N. N. Qader. 2020. Social Internet of Things: Vision, challenges, and trends. Human-centric Computing and Information Sciences 10 (1):1–40.
  • Salim, M. M., V. Shanmuganathan, V. Loia, and J. H. Park. 2021. Deep learning enabled secure IoT handover authentication for blockchain networks. Human-centric Computing and Information Sciences 11:21.
  • Stanners, D., P. Bosch, A. Dom, P. Gabrielsen, D. Gee, J. Martin, L. Rickard, and J. L. Weber. 2007. Frameworks for environmental assessment and indicators at the EEA. In Sustainability indicators: A scientific assessment, ed. T. Hák, B. Moldan, and L. A. Dahl, 125–44. 1st ed. London, UK: Island Press.
  • Sundaresan, Y. B., and M. Durai. 2018. VEERBENCH - an intelligent computing framework for workload characterization in multi-core heterogeneous architectures. World Review of Science Technology & Sustainable Development 14 (1):34–51. doi:10.1504/WRSTSD.2018.092823.
  • Tajima, J. A huge spectral characteristics database and its application to color imaging device design. Proceedings of the 6th IS&T/SID Color Imaging Conference, IS&T, Springfield, VA; 1998. 12, p. 86–89.
  • Trimmer, J. T., D. C. Miller, D. M. Byrne, H. A. C. Lohman, N. Banadda, K. Baylis, S. M. Cook, R. D. Cusick, F. Jjuuko, A. J. Margenot, et al. 2020. Re-envisioning sanitation as a human-derived resource system. Environmental Science & Technology 54 (17):10446–59. doi:10.1021/acs.est.0c03318.
  • Turner, R. K., I. Lorenzoni, N. Beaumont, I. J. Bateman, I. H. Langford, and A. L. Mcdonald. 1998. Coastal management for sustainable development: analysing environmental and socio-economic changes on the UK coast. The Geographical Journal 3 (3):269–81. doi:10.2307/3060616.
  • Von Döhren, P., and D. Haase. 2015. Ecosystem disservices research: A review of the state of the art with a focus on cities. Ecological Indicators 52:490–97. doi:10.1016/j.ecolind.2014.12.027.
  • Vrhel, M. J., R. Gershon, and L. S. Iwan. 1994. Measurement and analysis of object reflectance spectra. Color Research and Application 19 (1):4–9. doi:10.1111/j.1520-6378.1994.tb00053.x.
  • Wang, L., Z. Song, C. Huang, S. Jiang, and J. Wang. 2020. Special section on data-enabled intelligence in complex agricultural systems. Intelligent Automation & Soft Computing 26 (5):947–48. doi:10.32604/iasc.2020.010126.
  • Wang, J., B. Wei, J. Zhang, X. Yu, and P. K. Sharma. 2021. An optimized transaction verification method for trustworthy blockchain-enabled IIoT. Ad Hoc Networks 119:102526. doi:10.1016/j.adhoc.2021.102526.
  • Xu, Z., X. Li, J. Xu, W. Liang, and K. K. R. Choo. 2021a. A secure and computationally efficient authentication and key agreement scheme for Internet of Vehicles. Computers & Electrical Engineering 95:107409. doi:10.1016/j.compeleceng.2021.107409.
  • Xu, Z., W. Liang, K. C. Li, J. Xu, and H. Jin. 2021b. A blockchain-based roadside unit-assisted authentication and key agreement protocol for internet of vehicles. Journal of Parallel and Distributed Computing 149:29–39. doi:10.1016/j.jpdc.2020.11.003.
  • Xu, Z., C. Xu, J. Xu, and X. Meng. 2021c. A computationally efficient authentication and key agreement scheme for multi-server switching in WBAN. International Journal of Sensor Networks 35 (3):143–60. doi:10.1504/IJSNET.2021.113839.
  • Yin, B., and X. Wei. 2018. Communication-efficient data aggregation tree construction for complex queries in IoT applications. IEEE Internet of Things Journal 6 (2):3352–63. doi:10.1109/JIOT.2018.2882820.
  • Yuan H and Yang B. (2022). System Dynamics Approach for Evaluating the Interconnection Performance of Cross-Border Transport Infrastructure. J. Manage. Eng, 38(3), 10.1061/(ASCE)ME.1943-5479.0001015
  • Zheng, Y. 2020. Decision tree algorithm for precision marketing via network channel. Computer Systems Science and Engineering 35 (4):293–98. doi:10.32604/csse.2020.35.293.
  • Zheng W, Liu X and Yin L. (2021). Sentence Representation Method Based on Multi-Layer Semantic Network. Applied Sciences, 11(3), 1316 10.3390/app11031316
  • Zheng C, An Y, Wang Z, Qin X, Eynard B, Bricogne M, Le Duigou J and Zhang Y. (2022). Knowledge-based engineering approach for defining robotic manufacturing system architectures. International Journal of Production Research, 1–19. 10.1080/00207543.2022.2037025
  • Zheng W, Zhou Y, Liu S, Tian J, Yang B and Yin L. (2022). A Deep Fusion Matching Network Semantic Reasoning Model. Applied Sciences, 12(7), 3416 10.3390/app12073416
  • Zheng W, Cheng J, Wu X, Sun R, Wang X and Sun X. (2022). Domain knowledge-based security bug reports prediction. Knowledge-Based Systems, 241 108293 10.1016/j.knosys.2022.108293
  • Zhou, X. 2021. Video expression recognition method based on spatiotemporal recurrent neural network and feature fusion. Journal of Information Processing Systems 17 (2):337–51.
  • Zhu, S. 2021. Optimized Chinese pronunciation prediction by component-based statistical machine translation. Journal of Information Processing Systems 17 (1):203–12.

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.