IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i2p827-d722969.html
   My bibliography  Save this article

Implementation of a LoRaWAN Based Smart Agriculture Decision Support System for Optimum Crop Yield

Author

Listed:
  • Jehangir Arshad

    (Department of Electrical and Computer Engineering, Lahore Campus, COMSATS University Islamabad, Lahore 54000, Pakistan
    These authors contributed equally to this work.)

  • Musharraf Aziz

    (Department of Electrical and Computer Engineering, Lahore Campus, COMSATS University Islamabad, Lahore 54000, Pakistan)

  • Asma A. Al-Huqail

    (Department of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia)

  • Muhammad Hussnain uz Zaman

    (Department of Electrical and Computer Engineering, Lahore Campus, COMSATS University Islamabad, Lahore 54000, Pakistan)

  • Muhammad Husnain

    (Department of Electrical and Computer Engineering, Lahore Campus, COMSATS University Islamabad, Lahore 54000, Pakistan)

  • Ateeq Ur Rehman

    (Department of Electrical Engineering, Government College University, Lahore 54000, Pakistan
    These authors contributed equally to this work.)

  • Muhammad Shafiq

    (Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea)

Abstract

A majority of the population of developing countries is associated with agriculture directly or indirectly. The liaison of engineering technology and Sustainable Development Goals (SDGs) can build a bridge for farmers to enhance their skills regarding advancements through future generation agriculture trends. The next-generation trends include better soil preparation, intelligent irrigation systems, advanced methods of crop nutrient inspection, smart fertilizers applications, and multi-cropping practices. This work proposes a smart Decision Support System (DSS) that acquires the input parameters based on real-time monitoring to optimize the yield that realizes sustainability by improving per hectare production and lessening water seepage wastage in agribusiness. The proposed model comprises three basic units including an intelligent sensor module, smart irrigation system and controlled fertilizer module. The system has integrated sensors, cloud employing decision support layers, and networking based DSS to recommend cautions for optimum sustainable yield. The intelligent sensors module contains a temperature and humidity sensor, NPK sensor, soil moisture sensor, soil conductivity sensor, and pH sensor to transmit the statistics to the cloud over the internet via Long Range (LoRa) using Serial Peripheral Interface (SPI) communication protocol. Moreover, an android application has been developed for real-time data monitoring according to GPS location and node information (accessed remotely). Furthermore, the DSS contemplates the accessible information from sensors, past patterns, monitoring climate trends and creating cautions required for sustainable fertilizer consumption. The presented results and comparison validate the novelty of the design as it embraces smart irrigation with smart control and smart decision-making based on accurate real-time field data. It is better than existing systems as it transmits the data over the LoRa that is an open-source communication with long-range transmission ability up to several kilometres. The sensor nodes helped in advancing the yield of crops, which resulted in achieving inclusive and sustainable economic goals.

Suggested Citation

  • Jehangir Arshad & Musharraf Aziz & Asma A. Al-Huqail & Muhammad Hussnain uz Zaman & Muhammad Husnain & Ateeq Ur Rehman & Muhammad Shafiq, 2022. "Implementation of a LoRaWAN Based Smart Agriculture Decision Support System for Optimum Crop Yield," Sustainability, MDPI, vol. 14(2), pages 1-20, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:827-:d:722969
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/2/827/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/2/827/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Uwe Deichmann & Aparajita Goyal & Deepak Mishra, 2016. "Will digital technologies transform agriculture in developing countries?," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 21-33, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuan Liu & Xun He & Wanzhang Wang & Chenhui Zhu & Ruibo Jian & Jinfan Chen, 2022. "Agri-Environment Atmospheric Real-Time Monitoring Technology Based on Drone and Light Scattering," Agriculture, MDPI, vol. 12(11), pages 1-20, November.
    2. Honggang Wang & Peidong Pei & Ruoyu Pan & Kai Wu & Yu Zhang & Jinchao Xiao & Jingfeng Yang, 2022. "A Collision Reduction Adaptive Data Rate Algorithm Based on the FSVM for a Low-Cost LoRa Gateway," Mathematics, MDPI, vol. 10(21), pages 1-21, October.
    3. Jehangir Arshad & Ateeq Ur Rehman & Mohamed Tahar Ben Othman & Muhammad Ahmad & Hassaan Bin Tariq & Muhammad Abdullah Khalid & Muhammad Abdul Rehman Moosa & Muhammad Shafiq & Habib Hamam, 2022. "Deployment of Wireless Sensor Network and IoT Platform to Implement an Intelligent Animal Monitoring System," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    4. Michail-Alexandros Kourtis & Michael Batistatos & Georgios Xylouris & Andreas Oikonomakis & Dimitris Santorinaios & Charilaos Zarakovitis & Ioannis Chochliouros, 2023. "Energy Efficiency in Agriculture through Tokenization of 5G and Edge Applications," Energies, MDPI, vol. 16(13), pages 1-16, July.
    5. Kayson M. Shurtz & Emily Dicataldo & Robert B. Sowby & Gustavious P. Williams, 2022. "Insights into Efficient Irrigation of Urban Landscapes: Analysis Using Remote Sensing, Parcel Data, Water Use, and Tiered Rates," Sustainability, MDPI, vol. 14(3), pages 1-15, January.
    6. Valentina Constanta Tudor & Toma Adrian Dinu & Marius Vladu & Dragoș Smedescu & Ionela Mituko Vlad & Eduard Alexandru Dumitru & Cristina Maria Sterie & Carmen Luiza Costuleanu, 2022. "Labour Implications on Agricultural Production in Romania," Sustainability, MDPI, vol. 14(14), pages 1-22, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ran, Qiying & Yang, Xiaodong & Yan, Hongchuan & Xu, Yang & Cao, Jianhong, 2023. "Natural resource consumption and industrial green transformation: Does the digital economy matter?," Resources Policy, Elsevier, vol. 81(C).
    2. Fang, Lan & Quan, Yurong & Mao, Hui & Chen, Shaojian, 2022. "The Information Communication Technology and Off-farm Employment of Rural Laborers: An Analysis Based on the Micro Data of China Family Panel Studies," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322088, Agricultural and Applied Economics Association.
    3. Ku McMahan & Saad Usmani, 2022. "The Economic Benefits of Supporting Private Social Enterprise at the Nexus of Water and Agriculture: A Social Rate of Return Analysis of the Securing Water for Food Grand Challenge for Development," Sustainability, MDPI, vol. 14(10), pages 1-16, May.
    4. Hailemariam Ayalew & Dagim G. Belay, 2020. "The Ethiopian Commodity Exchange and Spatial Price Dispersion: Disentangling Warehouse and Price Information effects," IFRO Working Paper 2020/01, University of Copenhagen, Department of Food and Resource Economics.
    5. Melia, Elvis, 2019. "The impact of information and communication technologies on jobs in Africa: a literature review," IDOS Discussion Papers 3/2019, German Institute of Development and Sustainability (IDOS).
    6. Arkajyoti De & Surya Prakash Singh, 2022. "Analysis of Competitiveness in Agri-Supply Chain Logistics Outsourcing: A B2B Contractual Framework," Sustainability, MDPI, vol. 14(11), pages 1-33, June.
    7. Jianxin Guo & Songqing Jin & Lei Chen & Jichun Zhao, 2018. "Impacts of Distance Education on Agricultural Performance and Household Income: Micro-Evidence from Peri-Urban Districts in Beijing," Sustainability, MDPI, vol. 10(11), pages 1-19, October.
    8. Daum, Thomas & Villalba, Roberto & Anidi, Oluwakayode & Mayienga, Sharon Masakhwe & Gupta, Saurabh & Birner, Regina, 2021. "Uber for tractors? Opportunities and challenges of digital tools for tractor hire in India and Nigeria," World Development, Elsevier, vol. 144(C).
    9. Rodrik, Dani, 2018. "New Technologies, Global Value Chains, and Developing Economies," CEPR Discussion Papers 13220, C.E.P.R. Discussion Papers.
    10. Evans, Olaniyi, 2018. "Digital Agriculture: Mobile Phones, Internet & Agricultural Development in Africa," MPRA Paper 90359, University Library of Munich, Germany.
    11. Jikun Huang & Lanlan Su & Qiwang Huang & Xinyu Liu, 2022. "Facilitating inclusive ICT application and e‐Commerce development in rural China," Agricultural Economics, International Association of Agricultural Economists, vol. 53(6), pages 938-952, November.
    12. World Bank Group, "undated". "Africa's Pulse, No. 14, October 2016," World Bank Publications - Reports 25097, The World Bank Group.
    13. Heng Wang & Yuting Tang, 2023. "Spatiotemporal Distribution and Influencing Factors of Coupling Coordination between Digital Village and Green and High-Quality Agricultural Development—Evidence from China," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
    14. Nawab Khan & Ram L. Ray & Hazem S. Kassem & Sajjad Hussain & Shemei Zhang & Muhammad Khayyam & Muhammad Ihtisham & Simplice A. Asongu, 2021. "Potential Role of Technology Innovation in Transformation of Sustainable Food Systems: A Review," Agriculture, MDPI, vol. 11(10), pages 1-20, October.
    15. Adegbite, Olayinka O. & Machethe, Charles L., 2020. "Bridging the financial inclusion gender gap in smallholder agriculture in Nigeria: An untapped potential for sustainable development," World Development, Elsevier, vol. 127(C).
    16. Foivos Anastasiadis & Naoum Tsolakis & Jagjit Singh Srai, 2018. "Digital Technologies Towards Resource Efficiency in the Agrifood Sector: Key Challenges in Developing Countries," Sustainability, MDPI, vol. 10(12), pages 1-15, December.
    17. Yue Cheng & Dong Zheng, 2023. "Does the Digital Economy Promote Coordinated Urban–Rural Development? Evidence from China," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    18. Joana Colussi & Eric L. Morgan & Gary D. Schnitkey & Antônio D. Padula, 2022. "How Communication Affects the Adoption of Digital Technologies in Soybean Production: A Survey in Brazil," Agriculture, MDPI, vol. 12(5), pages 1-24, April.
    19. Chandra S.R. Nuthalapati, 2021. "Has Open Innovation Taken Root in India Evidence from Startups working in Food Value Chains," IEG Working Papers 417, Institute of Economic Growth.
    20. Valeria Sodano, 2019. "Innovation Trajectories and Sustainability in the Food System," Sustainability, MDPI, vol. 11(5), pages 1-19, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:827-:d:722969. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.