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Portable, wireless, and effective internet of things-based sensors for precision agriculture

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Abstract

Profitability in production farming depends on making correct and timely operational decisions based on current conditions and historical data. Precision agriculture is a comprehensive system designed to optimize agricultural production by carefully tailoring soil and crop management to correspond to the unique conditions found in each field while maintaining environmental quality. This research paper details the development of a portable and wireless sensor network system to remotely monitor the environmental parameters in an agriculture field and provide field managers with alerts and information regarding current conditions while saving the data in a database for future reference. The data acquisition unit consisting of sensors and microcontroller captures the environmental parameter data such as temperature, humidity, light intensity, and soil moisture content. By utilizing Internet of Things technology, the information captured by the sensors is uploaded wirelessly to the cloud server and can be viewed by users from anywhere in the world via an Internet-enabled device. The rugged and water-resistant enclosure ensures that the system can be used in outdoor agriculture fields, while a solar power supply eliminates cabling needs and reduces maintenance of sensor nodes. Tests conducted on the system show that it can successfully capture and display environmental parameter data to users.

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References

  • Adelantado F, Vilajosana X, Tuset-Peiro P, Martinez B, Watteyne T (2017) Understanding the limits of LoRaWAN. IEEE Commun Mag 55(9):34–40

    Article  Google Scholar 

  • Adila F, Bahaman A (2013) Factors impinging farmers’ use of agriculture technology. Asian Soc Sci 9(3):120–124

    Google Scholar 

  • Blandford D, Braden JB, Shortle JS (2014) Economics of natural resources and environment in agriculture. In: Van Alfen NK (ed) Encyclopaedia of agriculture and food systems. Elsevier Inc., Amsterdam, pp 18–34

    Chapter  Google Scholar 

  • Dagar R, Som S, Khatri SK (2018) Smart farming-IoT in agriculture. In: International conference on inventive research in computing applications 2018, pp 1052–1056

  • Davcev D, Mitreski K, Trajkovic S, Koteli N (2018) IoT agriculture system based on LoRaWAN. In: IEEE international workshop on factory communication systems 2018, pp 1–4

  • Deshpande P, Damkonde A, Chavan V (2017) The internet of things: vision, architecture and applications. Int J Comput Appl 178:1–14

    Google Scholar 

  • Dinar A, Tieu A, Huynh H (2019) Water scarcity impacts on global food production. Glob Food Secur 23:212–226

    Article  Google Scholar 

  • Dursun M, Ozden S (2011) A wireless application of drip irrigation automation supported by soil moisture sensors. Acad J Sci Res Essays 6(7):1573–1582

    Google Scholar 

  • Dwarkani C, Ganesh R (2001) Smart farming system using sensors for agricultural task automation.In: IEEE technological innovation in ICT for agriculture and rural development 2001, pp 49–53

  • Erbaugh J, Bierbaum R, Castilleja G, Hansen B (2019) Toward sustainable agriculture in the tropics. World Dev 121:158–162

    Article  Google Scholar 

  • Hajjaj SSH, Rao K (2019) Portable, wireless, and interactive system with internet-of-things and blockchain for agriculture field [Filed], UI2019005917

  • Hajjaj SSH, Sultan MTH, Moktar MH, Lee SH (2020) Utilizing the internet of things (IoT) to develop a remotely monitored autonomous floodgate for water management and control. Water 12(2):502

    Article  Google Scholar 

  • John GE (2016) A low-cost wireless sensor network for precision agriculture. In: International symposium on embedded computing and system design 2016, pp 24–27

  • Kalaivani T, Priya P, Allirani A (2011) A survey on ZigBee based wireless sensor networks in agriculture. In: International conference on trends in information sciences & computing 2011, pp 85–89

  • Kamilaris A, Gao F, Prenafeta-Boldu FX, Ali MI (2016) Agri-IoT: a semantic framework for internet of things-enabled smart farming applications. In: IEEE world forum on internet of things 2016, pp 442–447

  • Kavitha BC, Shilpa DP, Thanushree KS, Swathi AM, Ranjitha MK (2018) Agricultural crop monitoring using IoT-A study. Int J Eng Res Technol 6(13):1–4

    Google Scholar 

  • Khanna A, Kaur S (2019) Evolution of internet of things (IoT) and its significant impact in the field of precision agriculture. Comput Electron Agric 157:218–231

    Article  Google Scholar 

  • Krishna KL, Silver O, Malende WF, Anuradha K (2017) Internet of things application for implementation of smart agriculture system. In: International conference on IoT in social, mobile, analytics and cloud 2017, pp 54–59

  • Kumar S, Kumar U (2015) Development of WSN system for precision agriculture. In: International conference on innovations in information embedded and communication systems 2015, pp 1–5

  • Ma Y, Chen J (2018) Toward intelligent agriculture service platform with LoRa-based wireless sensor network. In: IEEE international conference on applied system invention 2018, pp 204–207

  • Mat I, Kassim MRM, Harun AN (2015) Precision agriculture applications using wireless moisture sensor network. In: IEEE Malaysia international conference on communications 2015, pp 18–23

  • Mathurkar SS, Chaudari DS (2013) A review on smart sensors-based monitoring system for agriculture. Int J Innov Technol Explor Eng 2:352–355

    Google Scholar 

  • Nandurkar SR, Thool VR, Thool RC (2014) Design and development of precision agriculture system using wireless sensor network. In: International conference on automation, control, energy and systems 2014, pp 1–6

  • Pallavi S, Mallapur JD (2017) Remote sensing and controlling of greenhouse agriculture parameters based on IoT. In: International conference on big data, IoT and data science 2017, pp 44–48

  • Palowski A, Guzman JL, Rodriguez F, Berenguel M, Sanchez J (2009) Simulation of greenhouse climate monitoring and control with wireless sensor network and event controller. Sensors 9:232–252

    Article  Google Scholar 

  • Patil KA, Kale NR (2016) A model for smart agriculture using IoT. In: International conference on global trends in signal processing, information computing and communication 2016, pp 543–545

  • Pradeep K, Byregowda BK (2017) Greenhouse monitoring and automation system using microcontroller. Int J Eng Trends Technol 45(5):196–201

    Article  Google Scholar 

  • Prathibha SR, Jyothi MP (2017) IoT based monitoring system in smart agriculture. In: International conference on recent advances in electronics and communication technology 2017, pp 81–84

  • Ramya R, Sandhya C, Shwetha R (2017) Smart farming systems using sensors. In: IEEE international conference on technological innovations in ICT for agriculture and rural development 2017, pp 218–222

  • Rehman A, Abbasi AZ, IslamN SZA (2011) A review of wireless sensors and networks applications in agriculture. Comput Standards Interfaces 36:263–270

    Article  Google Scholar 

  • Roselin R, Jawahar A (2017) Smart agro system using wireless sensor networks. In: International conference on intelligent computing and control systems 2017, pp 400–403

  • Silvade W, Borchardt A, Gabriellido D, Arun N (2019) Urban challenges and opportunities to promote sustainable food security through smart cities and the 4th industrial revolution. Land Use Policy 87:104065

    Article  Google Scholar 

  • Sonnino R, Tegoni C, Cunto A (2019) The challenge of systemic food change: Insights from cities. Cities 85:110–116

    Article  Google Scholar 

  • Sushanth G, Sujatha S (2018) IoT based smart agriculture system. In: International conference on wireless communications, signal processing and networking 2018, pp 1–4

  • Thornton K, Kristjanson P, Forch W, Barahona C, Cramer L, Pradhan S (2018) Is agricultural adaptation to global change in lower-income countries on track to meet the future food production challenge? Glob Environ Change 52:37–48

    Article  Google Scholar 

  • Ullah A, Ahmad J, Muhammad K, Lee MY (2017) A survey on precision agriculture: Technologies and challenges. In: International conference on next generation computing, Kaohsiung, Taiwan, 21–24 December 2017

  • United Nations. World population projected to reach 9.8 billion in 2050. https://www.un.org/development/desa/en/news/population/world-population-prospects-2017.html. Accessed 1 Oct 2019

  • Xiang X (2011)Design of fuzzy drip irrigation control system based on ZigBee wireless sensor network International conference on computer and computing technologies in agriculture 2011, pp 95–501

  • Xuemei L, Yuyan D, Lixing D (2008) Study on precision agriculture monitoring framework based on WSN. In: International conference on anti-counterfeiting, security and identification 2008, pp 182–185

  • Zhang N, Wang M, Wang N (2002) Precision agriculture-A worldwide overview. Comput Electron Agric 36:113–132

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the Innovation & Research Management Centre (iRMC), and College of Engineering, UNITEN, for their continued support of this work. The authors would also like to thank the Malaysian Agricultural Research and Development Institute, MARDI, for their contribution of knowledge and resources towards this research work. Lastly, the authors would like to thank the Institute of Tropical Forestry and Forest Product (INTROP), UPM.

Funding

This research was funded by the UNITEN Internal Grant 2018 (UNIIG2018), Number: J510050849 and Higher Education Center of Excellence (HICoE), Ministry of Higher Education, Malaysia.

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Authors and Affiliations

  1. College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000, Kajang, Selangor Darul Ehsan, Malaysia

    K. R. Gsangaya

  2. Centre for Advanced Mechatronics and Robotics (CaMaRo), Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000, Kajang, Selangor Darul Ehsan, Malaysia

    S. S. H. Hajjaj

  3. Laboratory of Biocomposite Technology, Institute of Tropical Forestry and Forest Products (INTROP), Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor Darul Ehsan, Malaysia

    M. T. H. Sultan

  4. Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor Darul Ehsan, Malaysia

    M. T. H. Sultan

  5. Prime Minister’s Department, Aerospace Malaysia Innovation Centre (944741-A), MIGHT Partnership Hub, Jalan Impact, 63000, Cyberjaya, Selangor Darul Ehsan, Malaysia

    M. T. H. Sultan

  6. Laboratory of Biopolymer and Derivatives, Institute of Tropical Forestry and Forest Products (INTROP), Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor Darul Ehsan, Malaysia

    L. S. Hua

Authors
  1. K. R. Gsangaya
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  2. S. S. H. Hajjaj
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  3. M. T. H. Sultan
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  4. L. S. Hua
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Corresponding author

Correspondence to K. R. Gsangaya.

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Editorial responsibility: Shahid Hussain.

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Gsangaya, K.R., Hajjaj, S.S.H., Sultan, M.T.H. et al. Portable, wireless, and effective internet of things-based sensors for precision agriculture. Int. J. Environ. Sci. Technol. 17, 3901–3916 (2020). https://doi.org/10.1007/s13762-020-02737-6

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  • DOI: https://doi.org/10.1007/s13762-020-02737-6

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