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A Comprehensive Review on the Application of Internet of Thing (IoT) in Smart Agriculture

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Abstract

IoT-based smart farming techniques have come up as one of the solutions to tackle the effect of climate change, water scarcity, etc. which are the prime reason for the decline of agricultural products and increase in their price. In recent year, many works have presented innovative ideas and prototypes which can be used for IoT-based smart farming. This article presents a comprehensive review of the cutting-edge technologies and advancements in the field of IoT-based smart farming. This article also presents a discussion on the IoT-based commercial products developed for smart farming. Based on the review of these exiting works and commercial products, some key challenges and future scope of research in this domain are found and presented in the article.

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References

  1. Bloom, D. E. (2011). 7 billion and counting. Science, 333(6042), 562–569.

    Article  Google Scholar 

  2. Wikipedia Contributors. (2021). Agriculture in India—Wikipedia, the free encyclopedia. Retreived March 27, 2021, from https://en.wikipedia.org/w/index.php?title=Agriculture_in_India&oldid=1013608853

  3. Raiten, D. J., & Combs, G. F. (2019) Nutritional ecology: Understanding the intersection of climate/environmental change, food systems and health. Agriculture for improved nutrition: Seizing the momentum (p. 68)

  4. Cavicchioli, R., Ripple, W. J., Timmis, K. N., Azam, F., Bakken, L. R., Baylis, M., Behrenfeld, M. J., Boetius, A., Boyd, P. W., Classen, A. T., Crowther, T. W., Danovaro, R., Foreman, C. M., Huisman, J., Hutchins, D. A., Jansson, J. K., Karl, D. M., Koskella, B., Mark Welch, D. B.,... Webster, N. S. (2019). Scientists’ warning to humanity: microorganisms and climate change. Nature Reviews Microbiology, 17(9), 569–586.

  5. Huong, N. T. L., Bo, Y. S., & Fahad, S. (2019). Economic impact of climate change on agriculture using ricardian approach: A case of northwest vietnam. Journal of the Saudi Society of Agricultural Sciences, 18(4), 449–457.

    Article  Google Scholar 

  6. Milius, S. (2017). Worries grow that climate change will quietly steal nutrients from major food crops. Science News Year in Review Nutrition, Climate, Sustainability.

  7. Hoffmann, U. (2013). Section b: Agriculture: A key driver and a major victim of global warming (pp. 3–5). Lead article

  8. Lal, R. (2019). Adaptation and mitigation of climate change by improving agriculture in india. In Climate change and agriculture in India: Impact and adaptation (pp. 217–227). Springer.

  9. Porter, J. R., Xie, L., Challinor, A. J., Cochrane, K., Howden, S. M., Iqbal, M. M., Lobell, D. B., & Travasso, M. I. (2014). Food security and food production systems

  10. Schnepf, R. D. (2004). Energy use in agriculture: Background and issues. Congressional Information Service, Library of Congress.

  11. Howden, D. (2007). World oil supplies are set to run out faster than expected, warn scientists. The Independent 14

  12. WHO Commission on Health and Environment & World Health Organization. (1992). Our planet, our health: Report of the WHO Commission on Health and Environment. World Health Organization

  13. Cook, S. M., Khan, Z. R., & Pickett, J. A. (2007). The use of push-pull strategies in integrated pest management. Annual Review of Entomology, 52

  14. Bapat, V., Kale, P., Shinde, V., Deshpande, N., & Shaligram, A. (2017). Wsn application for crop protection to divert animal intrusions in the agricultural land. Computers and Electronics in Agriculture, 133, 88–96.

    Article  Google Scholar 

  15. Jayson, E. (1999). Studies on crop damage by wild animals in kerala and evaluation of control measures. KFRI Research Report (169)

  16. Amici, A., Serrani, F., Rossi, C. M., & Primi, R. (2012). Increase in crop damage caused by wild boar (sus scrofa l.): The “refuge effect”. Agronomy for Sustainable Development, 32(3), 683–692

  17. Awasthi, B., & Singh, N. B. (2015). Status of human-wildlife conflict and assessment of crop damage by wild animals in gaurishankar conservation area, Nepal. Journal of Institute of Science and Technology, 20(1), 107–111.

    Article  Google Scholar 

  18. Radhakrishnan, S., & Vijayarajan, V. (2019). Farming 4.0: Technological advances that enable smart farming. In Handbook of research on implementation and deployment of IoT projects in smart cities (pp. 279–295). IGI Global

  19. Baylis, A. (2017). Advances in precision farming technologies for crop protection. Outlooks on Pest Management, 28(4), 158–161.

    Article  Google Scholar 

  20. Mulla, D., & Khosla, R. (2016). Historical evolution and recent advances in precision farming. Soil-specific farming precision agriculture (pp. 1–35)

  21. Dutta, L., & Basu, T. K. (2013) Extraction and optimization of leaves images of mango trees and classification using ann. International Journal of Recent Advances in Engineering & Technology (IJRAET), 2347–2812 (ISSN (online) )

  22. Saha, H. N., Mandal, A., & Sinha, A. (2017). Recent trends in the internet of things. In 2017 IEEE 7th annual computing and communication workshop and conference (CCWC) (pp. 1–4). IEEE.

  23. Weiser, M. (1991). Scientific America. The Computer for the 21st Century (Sept 1991) (pp 94–104)

  24. Pontin, J. (2005). Etc: Bill joy’s six webs. MIT Technology Review

  25. Ashton, K., et al. (2009). That internet of things thing. RFID journal, 22(7), 97–114.

    Google Scholar 

  26. Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer Networks, 54(15), 2787–2805.

    Article  Google Scholar 

  27. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17(4), 2347–2376.

    Article  Google Scholar 

  28. Boursianis, A. D., Papadopoulou, M. S., Diamantoulakis, P., Liopa-Tsakalidi, A., Barouchas, P., Salahas, G., Karagiannidis, G., Wan, S., & Goudos, S. K. (2020). Internet of things (iot) and agricultural unmanned aerial vehicles (uavs) in smart farming: A comprehensive review. Internet of Things, 100187

  29. Farooq, M. U., Waseem, M., Mazhar, S., Khairi, A., & Kamal, T. (2015). A review on internet of things (iot). International Journal of Computer Applications, 113(1), 1–7.

    Article  Google Scholar 

  30. Chen, W. (2012). An ibe-based security scheme on internet of things. In 2012 IEEE 2nd international conference on cloud computing and intelligence systems (Vol. 3, pp. 1046–1049). IEEE.

  31. Suo, H., Wan, J., Zou, C., & Liu, J. (2012). Security in the internet of things: A review. In 2012 international conference on computer science and electronics engineering (Vol. 3, pp. 648–651). IEEE

  32. Wu, M., Lu, T. J., Ling, F. Y., Sun, J., & Du, H. Y. (2010). Research on the architecture of internet of things. In 2010 3rd International conference on advanced computer theory and engineering (ICACTE) (Vol. 5, pp. V5–484). IEEE.

  33. Zhang, M., Sun, F., & Cheng, X. (2012). Architecture of internet of things and its key technology integration based-on rfid. In 2012 Fifth international symposium on computational intelligence and design (Vol. 1, pp. 294–297). IEEE.

  34. Ngu, A. H., Gutierrez, M., Metsis, V., Nepal, S., & Sheng, Q. Z. (2016). Iot middleware: A survey on issues and enabling technologies. IEEE Internet of Things Journal, 4(1), 1–20.

    Article  Google Scholar 

  35. Ray, P. P. (2017). Internet of things for smart agriculture: Technologies, practices and future direction. Journal of Ambient Intelligence and Smart Environments, 9(4), 395–420.

    Article  Google Scholar 

  36. Farooq, M., Waseem, M., Mazhar, S., Khairi, A., & Kamal, T. (2015). Article: A review on internet of things (iot). International Journal of Computer Applications, 113(1), 1–7 (full text available)

  37. Bandyopadhyay, D., & Sen, J. (2011). Internet of things: Applications and challenges in technology and standardization. Wireless Personal Communications, 58(1), 49–69.

    Article  Google Scholar 

  38. Khanna, A., & Kaur, S. (2019). Evolution of internet of things (iot) and its significant impact in the field of precision agriculture. Computers and Electronics in Agriculture, 157, 218–231.

    Article  Google Scholar 

  39. Al-Sarawi, S., Anbar, M., Alieyan, K., & Alzubaidi, M. (2017). Internet of things (iot) communication protocols. In 2017 8th International conference on information technology (ICIT) (pp 685–690). IEEE

  40. Nasar, M., & Kausar, M. A. (2019). Suitability of influxdb database for iot applications. International Journal of Innovative Technology and Exploring Engineering, 8(10), 1850–1857.

    Article  Google Scholar 

  41. Weyrich, M., & Ebert, C. (2015). Reference architectures for the internet of things. IEEE Software, 33(1), 112–116.

    Article  Google Scholar 

  42. Li, T., Liu, Y., Tian, Y., Shen, S., & Mao, W. (2012). A storage solution for massive iot data based on nosql. In 2012 IEEE International conference on green computing and communications (pp. 50–57). IEEE.

  43. Diène, B., Rodrigues, J. J., Diallo, O., Ndoye, E. H. M., & Korotaev, V. V. (2020). Data management techniques for internet of things. Mechanical Systems and Signal Processing, 138, 106564.

    Article  Google Scholar 

  44. Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information systems, 47, 98–115.

  45. Moniruzzaman A, & Hossain SA (2013) Nosql database: New era of databases for big data analytics-classification, characteristics and comparison. arXiv preprint arXiv:13070191

  46. Al-Sakran, A., Qattous, H., & Hijjawi, M. (2018). A proposed performance evaluation of nosql databases in the field of iot. In 2018 8th International conference on computer science and information technology (CSIT) (pp. 32–37). IEEE.

  47. Amghar, S., Cherdal, S., & Mouline, S. (2018). Which nosql database for iot applications? In 2018 international conference on selected topics in mobile and wireless networking (mownet) (pp. 131–137). IEEE.

  48. Rautmare, S., & Bhalerao, D. M. (2016). Mysql and nosql database comparison for iot application. In 2016 IEEE international conference on advances in computer applications (ICACA) (235–238). https://doi.org/10.1109/ICACA.2016.7887957

  49. Rao, K., Maikhuri, R., Nautiyal, S., & Saxena, K. G. (2002). Crop damage and livestock depredation by wildlife: A case study from nanda devi biosphere reserve, India. Journal of Environmental Management, 66(3), 317–327.

    Article  Google Scholar 

  50. Wang, S. W., Curtis, P. D., & Lassoie, J. P. (2006). Farmer perceptions of crop damage by wildlife in jigme singye wangchuck national park, bhutan. Wildlife Society Bulletin, 34(2), 359–365.

    Article  Google Scholar 

  51. Abdullahi, H. S., Mahieddine, F., & Sheriff, R. E. (2015). Technology impact on agricultural productivity: A review of precision agriculture using unmanned aerial vehicles. In International conference on wireless and satellite systems (pp. 388–400). Springer.

  52. Vangala, A., Das, A. K., Kumar, N., & Alazab, M. (2020). Smart secure sensing for iot-based agriculture: Blockchain perspective. IEEE Sensors Journal.

  53. Krishnan, R. S., Julie, E. G., Robinson, Y. H., Raja, S., Kumar, R., Thong, P. H., et al. (2020). Fuzzy logic based smart irrigation system using internet of things. Journal of Cleaner Production, 252, 119902.

    Article  Google Scholar 

  54. Nawandar, N. K., & Satpute, V. R. (2019). Iot based low cost and intelligent module for smart irrigation system. Computers and Electronics in Agriculture, 162, 979–990.

    Article  Google Scholar 

  55. dos Santos, U. J. L., Pessin, G., da Costa, C. A., & da Rosa, Righi R. (2019). Agriprediction: A proactive internet of things model to anticipate problems and improve production in agricultural crops. Computers and Electronics in Agriculture, 161, 202–213.

    Article  Google Scholar 

  56. Kale, A. P., & Sonavane, S. P. (2019). Iot based smart farming: Feature subset selection for optimized high-dimensional data using improved ga based approach for elm. Computers and Electronics in Agriculture, 161, 225–232.

    Article  Google Scholar 

  57. Bu, F., & Wang, X. (2019). A smart agriculture iot system based on deep reinforcement learning. Future Generation Computer Systems, 99, 500–507.

    Article  Google Scholar 

  58. Lavanya, G., Rani, C., & Ganeshkumar, P. (2019) An automated low cost iot based fertilizer intimation system for smart agriculture. Sustainable Computing: Informatics and Systems.

  59. Mekala, M. S., & Viswanathan, P. (2019). Clay-mist: Iot-cloud enabled cmm index for smart agriculture monitoring system. Measurement, 134, 236–244.

    Article  Google Scholar 

  60. Kiani, F., & Seyyedabbasi, A. (2018). Wireless sensor network and internet of things in precision agriculture. International Journal of Advanced Computer Science and Applications (ijacsa), 9(6)

  61. Goap, A., Sharma, D., Shukla, A., & Krishna, C. R. (2018). An iot based smart irrigation management system using machine learning and open source technologies. Computers and Electronics in Agriculture, 155, 41–49.

    Article  Google Scholar 

  62. Barrero, O., & Perdomo, S. A. (2018). Rgb and multispectral uav image fusion for gramineae weed detection in rice fields. Precision Agriculture, 19(5), 809–822.

    Article  Google Scholar 

  63. García, A. M., García, I. F., Poyato, E. C., Barrios, P. M., & Díaz, J. R. (2018). Coupling irrigation scheduling with solar energy production in a smart irrigation management system. Journal of Cleaner Production, 175, 670–682.

    Article  Google Scholar 

  64. Prabha, R., Sinitambirivoutin, E., Passelaigue, F., & Ramesh, M. V. (2018). Design and development of an iot based smart irrigation and fertilization system for chilli farming. 2018 International conference on wireless communications (pp. 1–7). IEEE. Signal Processing and Networking (WiSPNET).

  65. Suma, N., Samson, S. R., Saranya, S., Shanmugapriya, G., & Subhashri, R. (2017). Iot based smart agriculture monitoring system. International Journal on Recent and Innovation Trends in computing and communication, 5(2), 177–181.

    Google Scholar 

  66. Patil, G. L., Gawande, P. S., & Bag, R. V. (2017). Smart agriculture system based on iot and its social impact. International Journal of Computer Applications, 176(1), 0975–8887.

    Google Scholar 

  67. Krishna, K. L., Silver, O., Malende, W. F., & Anuradha, K. (2017). Internet of things application for implementation of smart agriculture system. In 2017 International conference on I-SMAC (IoT in social, mobile, analytics and cloud (I-SMAC)) (pp. 54–59). IEEE.

  68. Pallavi, S., Mallapur, J. D., & Bendigeri, K. Y. (2017). Remote sensing and controlling of greenhouse agriculture parameters based on iot. In 2017 International conference on big data, IoT and data science (BID) (pp. 44–48). IEEE.

  69. Lottes, P., Khanna, R., Pfeifer, J., Siegwart, R., & Stachniss, C. (2017). Uav-based crop and weed classification for smart farming. In 2017 IEEE International conference on robotics and automation (ICRA) (pp 3024–3031). IEEE.

  70. Gondchawar, N., Kawitkar, R., et al. (2016). Iot based smart agriculture. International Journal of Advanced Research in Computer and Communication Engineering, 5(6), 838–842.

    Google Scholar 

  71. Balas, V. E., Kumar, R., & Srivastava, R. (2020). Recent trends and advances in artificial intelligence and internet of things. Springer.

  72. Muneera Begum, H., Janeera, D., & AG AK. Internet of things based wild animal infringement identification, diversion and alert system. In Fifth International conference on inventive computation technologies (ICICT-2020) (pp 672–676).

  73. Srivastava, A., Das, D. K., & Kumar, R. (2020). Monitoring of soil parameters and controlling of soil moisture through iot based smart agriculture. In 2020 IEEE students conference on engineering systems (SCES) (pp. 1–6). https://doi.org/10.1109/SCES50439.2020.9236764

  74. Thakare, S., & Bhagat, P. (2018). Arduino-based smart irrigation using sensors and esp8266 wifi module. In 2018 Second international conference on intelligent computing and control systems (ICICCS) (pp. 1–5). IEEE.

  75. Benyezza, H., Bouhedda, M., Djellout, K., & Saidi, A. (2018). Smart irrigation system based thingspeak and arduino. In 2018 International conference on applied smart systems (ICASS) (pp .1–4). IEEE.

  76. Saraf, S. B., & Gawali, D. H. (2017) Iot based smart irrigation monitoring and controlling system. In 2017 2nd IEEE international conference on recent trends in electronics, information & communication technology (RTEICT) (pp. 815–819). IEEE.

  77. Prathibha, S., Hongal, A., & Jyothi, M. (2017). Iot based monitoring system in smart agriculture. In 2017 international conference on recent advances in electronics and communication technology (ICRAECT) (pp. 81–84). IEEE

  78. Rao, R. N., & Sridhar, B. (2018). Iot based smart crop-field monitoring and automation irrigation system. In 2018 2nd International conference on inventive systems and control (ICISC) (pp. 478–483). IEEE.

  79. Mishra, D., Khan, A., Tiwari, R., & Upadhay, S. (2018). Automated irrigation system-iot based approach. In 2018 3rd International conference on internet of things: Smart Innovation and Usages (IoT-SIU) (pp. 1–4). IEEE.

  80. Sushanth, G., & Sujatha, S. (2018). Iot based smart agriculture system. 2018 International conference on wireless communications, signal processing and networking (WiSPNET) (pp. 1–4). IEEE.

  81. Sales, N., Remédios, O., & Arsenio, A. (2015). Wireless sensor and actuator system for smart irrigation on the cloud. In 2015 IEEE 2nd World forum on internet of things (WF-IoT) (pp. 693–698). IEEE.

  82. Na, A., Isaac, W., Varshney, S., & Khan, E. (2016). An iot based system for remote monitoring of soil characteristics. In 2016 International conference on information technology (InCITe)-the next generation IT summit on the theme-internet of things: Connect your Worlds (pp. 316–320). IEEE.

  83. Ananthi, N., Divya, J., Divya, M., & Janani, V. (2017). Iot based smart soil monitoring system for agricultural production. In 2017 IEEE technological innovations in ICT for agriculture and rural development (TIAR) (pp. 209–214). IEEE.

  84. Dedeepya, P., Srinija, U., Krishna, M. G., Sindhusha, G., & Gnanesh, T. (2018). Smart greenhouse farming based on iot. In 2018 Second international conference on electronics, communication and aerospace technology (ICECA) (pp. 1890–1893). IEEE.

  85. Ju, C., & Son, H. I. (2018). Multiple uav systems for agricultural applications: control, implementation, and evaluation. Electronics, 7(9), 162.

    Article  Google Scholar 

  86. Zhai, Z., Martínez Ortega, J. F., Lucas Martínez, N., & Rodríguez-Molina, J. (2018). A mission planning approach for precision farming systems based on multi-objective optimization. Sensors, 18(6), 1795.

    Article  Google Scholar 

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Acknowledgements

The authors would like to acknowledge and thank the National Mission on Himalayan Studies (NMHS) implemented by the Ministry of Environment, Forest and Climate Change (MoEFCC) under the nodal and serving hub with G.B. Pant “National Institute of Himalayan Environment” (NIHE) for the financial support for carrying out this research

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  1. Department of Electrical and Electronics Engineering, National Institute of Technology Nagaland, Nagaland, India

    Abhishek Srivastava & Dushmanta Kumar Das

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Srivastava, A., Das, D.K. A Comprehensive Review on the Application of Internet of Thing (IoT) in Smart Agriculture. Wireless Pers Commun 122, 1807–1837 (2022). https://doi.org/10.1007/s11277-021-08970-7

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