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Wireless Sensor Network in Agriculture: Needs, Challenges and Solutions

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Innovations in Cyber Physical Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 788))

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Abstract

Wireless communication technologies are increasingly growing in today’s era, which are providing great research opportunities in the networking area. Wireless sensor network (WSN) is one such example of wireless communication technology. WSNs are widely used in agricultural field in order to help farmers cut down their expenses and increase the profit margin. Precision agriculture (PA) is a management strategy that helps to improve the quality as well as the quantity of the production. In this paper, sensor networks are classified on the basis of different parameters, the various issues and the challenges that are faced while deploying WSNs are also reviewed for improved farming. In this review paper, the comparison of different wireless communication protocols and energy-efficient protocols is analyzed comprehensively.

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References

  1. Akyildiz IF, Kasimoglu IH (2004) Wireless sensor and actor networks: research challenges. Ad Hoc Netw 2(4):351–367

    Article  Google Scholar 

  2. Wang N, Zhang N, Wang M (2006) Wireless sensors in agriculture and food industry—recent development and future perspective. Comput Electron Agric 50(1):1–14

    Article  Google Scholar 

  3. Ruiz-Garcia L, Lunadei L, Barreiro P, Robla I (2009) A review of wireless sensor technologies and applications in agriculture and food industry: state of the art and current trends. Sensors 9(6):4728–4750

    Article  Google Scholar 

  4. Srinivasan A (2006) Handbook of precision agriculture: principles and applications. CRC

    Google Scholar 

  5. Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2009) A survey on sensor networks. IEEE Commun Mag 40(8):102–114

    Article  Google Scholar 

  6. Abowd G, Dey AK, Brown P, Davies N, Smith M, Steggles P (1999) Towards a better understanding of context and context-awareness. In: The workshop on the what, who, where, when, and how of context-awareness as part of the 2000 conference on human factors in computing systems (CHI 2000), pp 304–307. Springer, The Netherlands

    Google Scholar 

  7. Schilit BN, Theimer MM (1994) Disseminating active map information to mobile hosts. IEEE Netw 8(5):22–32

    Article  Google Scholar 

  8. Morais R, Valente A, Serôdio C (2005) A wireless sensor network for smart irrigation and environmental monitoring. In: EFITA/WCCA joint congress on IT in agriculture, Portugal, pp 845–850

    Google Scholar 

  9. Wang C, Zhao C, Qiao X, Zhang X, Zhang Y (2008) The design of wireless sensor networks node for measuring the greenhouse’s environment parameters. In: Computer and computing technologies in agriculture, vol 2, pp 1037–1046. Springer, Boston

    Google Scholar 

  10. Kolokotsa D, Saridakis G, Dalamagkidis K, Dolianitis S, Kaliakatsos I (2010) Development of an intelligent indoor environment and energy management system for greenhouses. Energy Convers Manage 51(1):155–168

    Article  Google Scholar 

  11. Burrell J, Brooke T, Beckwith R (2004) Vineyard computing: sensor networks in agricultural production. IEEE Pervasive Comput 3(1):38–45

    Article  Google Scholar 

  12. Beckwith R, Teibel D, Bowen P (2004) Report from the field: results from an agricultural wireless sensor network. In: 29th annual IEEE international conference on local computer networks, Tampa, FL, USA, pp 471–478

    Google Scholar 

  13. Shaikh AZA (2008) Towards design of context-aware sensor grid framework for agriculture. In: Fifth international conference on information technology, XXVIII-WASET conference, Rome, Italy, pp 244–247

    Google Scholar 

  14. Goumopoulos C, Christopoulou E, Drossos N, Kameas A (2004) The PLANTS system: enabling mixed societies of communicating plants and artefacts. In: Ambient intelligence, pp 184–195. Springer, Berlin/Heidelberg

    Google Scholar 

  15. Kaur P, Sohi BS, Singh P (2018) Recent advances in MAC Protocols for the energy harvesting based WSN: a comprehensive review. Wirel Personal Commun. Springer

    Google Scholar 

  16. Basu T, Thool MVR, Thool RC, Birajdar AC (2006) Computer based drip irrigation control system with remote data acquisition system. In: 4th world congress of computers in agriculture and natural resources, USA

    Google Scholar 

  17. Escobar C, Galindo J (2004) Fuzzy control in agriculture: simulation software. In: Industrial simulation conference, pp 45–49

    Google Scholar 

  18. Ferentinos KP (2018) Deep learning models for plant disease detection and diagnosis. Comput Electron Agric 145:311–318

    Article  Google Scholar 

  19. Kim Y, Evans RG, Iversen WM (2008) Remote sensing and control of an irrigation system using a distributed wireless sensor network. IEEE Trans Instrum Meas 57(7):1379–1387

    Article  Google Scholar 

  20. Kim Y, Evans RG (2009) Software design for wireless sensor-based site-specific irrigation. Comput Electron Agric 66(2):159–165

    Article  Google Scholar 

  21. Cugati S, Miller W, Schueller J (2003) Automation concepts for the variable rate fertilizer applicator for tree farming. In: The proceedings of the 4th European conference in precision agriculture, Berlin, Germany, pp 14–19

    Google Scholar 

  22. Ehlert D, Schmerler J, Voelker U (2004) Variable rate nitrogen fertilisation of winter wheat based on a crop density sensor. Precis Agric 5(3):263–273

    Article  Google Scholar 

  23. He J, Wang J, He D, Dong J, Wang Y. The design and implementation of a integrated optimal fertilization decision support system. Mathematical and Computer Modelling (in press)

    Google Scholar 

  24. Chen X, Zhang F (2006) The establishment of fertilization technology index system based on “3414” fertilizer experiment. China Agricult Technol Extens 22(4):36–39

    Google Scholar 

  25. Yanlin H, Shoulun C (2004) Summarization of fertilization model research. Chin J Soil Sci 35(4):493–501

    Google Scholar 

  26. Dammer KH (2010) Variable rate application of fungicides, Precision crop protection the challenge and use of heterogeneity, pp 351–365. Springer Science and Business Media

    Google Scholar 

  27. Butler Z, Corke P, Peterson R, Rus D (2004) Virtual fences for controlling cows. In: IEEE international conference on robotics and automation (ICRA), New Orleans, LA, pp 4429–4436

    Google Scholar 

  28. Radenkovic M, Wietrzyk B (2006) Wireless mobile ad-hoc sensor networks for very large scale cattle monitoring. In: 6th International workshop applications and services in wireless networks (ASWN 06), pp 47–58

    Google Scholar 

  29. Andonovic I, Michie C, Gilroy M, Goh HG, Kwong KH, Sasloglou K, Wu T (2010) Wireless sensor networks for cattle health monitoring. In: ICT innovations 2009, pp 1–31. Springer, Berlin Heidelberg

    Google Scholar 

  30. Zhang W, Kantor G, Singh S (2004) Integrated wireless sensor/actuator networks in an agricultural application. In: 2nd ACM international conference on embedded networked sensor systems, p 317

    Google Scholar 

  31. Aqeel-ur-Rehman ZAS, Yousuf H, Nawaz F, Kirmani M, Kiran S (2010) Crop irrigation control using wireless sensor and actuator network (WSAN), 2nd IEEE International conference on information and emerging technologies (ICIET-2010), Karachi, Pakistan, pp 1–5

    Google Scholar 

  32. Mizunuma M, Katoh T, Hata S (2003) Applying IT to farm fields—a wireless LAN. NTT Tech Rev 1(2):56–60

    Google Scholar 

  33. Gutiérrez J, Medina JFV, Garibay AN, Gándara MAP (2003) Automated irrigation system using a wireless sensor network and GPRS module. IEEE Trans Instrum Meas 63(1):1–11

    Google Scholar 

  34. Hernandez-Perez JA, Garcıa-Alvarado MA, Trystram G, Heyd B (2004) Neural networks for the heat and mass transfer prediction during drying of cassava and mango. Innov Food Sci Emerg Technol 5:57–64

    Google Scholar 

  35. Hinnell AC, Lazarovitch N, Furman A, Poulton M, Warrick AW (2010) Neuro-drip: estimation of subsurface wetting patterns for drip irrigation using neural networks. Irrig Sci 28:535–544

    Article  Google Scholar 

  36. Kalaivani T, Allirani A, Priya (2011) A survey on Zigbee based wireless sensor networks in agriculture, pp 85–89. IEEE

    Google Scholar 

  37. Katariya SS, Gundal SS, Kanawade MT, Mazhar K (2015) Automation in agriculture. Int J Rec Sci Res 6(6):4453–4456

    Google Scholar 

  38. Kamilaris A, Prenafeta-Boldú FX (2018) Deep learning in agriculture: a survey. Comput Electron Agric 147:70–90

    Article  Google Scholar 

  39. Kavdir S, Guyer DE (2003) Apple grading using fuzzy logic. Turk J Agric 27:375–382

    Google Scholar 

  40. John J, Kasbekar GS, Sharma DK, Ramulu V, Baghini MS (2018) Design and implementation of a wireless sensor network for agricultural applications. EAI Endorsed Transactions on Internet of Things, vol 4, issue 16

    Google Scholar 

  41. Abbasi AAZ, Shaikh ZA (2008) Building a smart university using RFID technology. In: 2008 International conference on computer science and software engineering (CSSE 2008), Wuhan, China, pp 641–644

    Google Scholar 

  42. Haider A, Javaid N, Amjad N, Awan AA, Khan A, Khan N (2013) REECH-ME: regional energy efficient cluster heads based on maximum energy routing protocol for WSNs. In: International conference on broadband and wireless computing, Communication and applications

    Google Scholar 

  43. Amjad N, Javaid N, Haider A, Awan AA, Rahman M (2013) DREEM-ME: distributed regional energy efficient multi-hop routing protocol based on maximum energy in WSNs. In: 8th International conference on broadband and wireless computing ,Communication and applications

    Google Scholar 

  44. Nadeem Q, Rasheed MB, Javaid N, Khan ZA, Maqsood Y, Din A (2013) M-GEAR: gateway-based energy-aware multi-hop routing protocol for WSNs. In: 8th International conference on broadband and wireless computing ,communication and applications

    Google Scholar 

  45. Manjeshwar A, Agrawal DP (2001) TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. In: Proceedings of 15th international parallel and distributed processing symposium

    Google Scholar 

  46. Manjeshwar A, Agrawal DP (2002) APTEEN: a hybrid protocol for fficient routing and comprehensive information retrieval in wireless. In: Proceedings of 16th International parallel and distributed processing symposium, Lauderdale, USA

    Google Scholar 

  47. Heinzelman W, Chanrakasan A, Balakrishnan H (2000) Energy efficient communication protocol for wireless microsensor networks. In: Proceedings of 33rd Hawaii conference on system sciences

    Google Scholar 

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Correspondence to Neha Gupta .

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Gupta, N., Singh, P., Kaur, P. (2021). Wireless Sensor Network in Agriculture: Needs, Challenges and Solutions. In: Singh, J., Kumar, S., Choudhury, U. (eds) Innovations in Cyber Physical Systems. Lecture Notes in Electrical Engineering, vol 788. Springer, Singapore. https://doi.org/10.1007/978-981-16-4149-7_52

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  • DOI: https://doi.org/10.1007/978-981-16-4149-7_52

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