IDEAS home Printed from https://ideas.repec.org/a/spr/trosos/v13y2019i1d10.1007_s12626-019-00035-3.html
   My bibliography  Save this article

Realizing Social-Media-Based Analytics for Smart Agriculture

Author

Listed:
  • M. Saravanan

    (Ericsson Research Chennai, Ericsson India Global Services Pvt. Ltd.)

  • Satheesh K. Perepu

    (Ericsson Research Chennai, Ericsson India Global Services Pvt. Ltd.)

Abstract

Continuous fluctuation of the daily prices of vegetables and pulses is destabilizing to a country’s economy and hinders the nation’s monetary planning. One factor that affects the fluctuation of the prices is changes in the production of the vegetables and pulses. Early detection and treatment of crop and plant diseases will substantially improve production and constitutes an attempt to introduce smart technology into the system. There is an immediate need for an intelligent solution that advises farmers on how to address crop and plant diseases at the point of demand. In this paper, we have explored social media analytics as a knowledge-intensive process and proposed a new framework for identifying the relevant details of plants from both text and images. This approach will generate knowledge about plant diseases and other areas of development that are related to precision agriculture. The community of farmers within social media is expected to provide immediate suggestions to questions that are posted by members regarding plant diseases and other problems. The newly designed innovative framework identifies the relevant features, finds similarities among the farmers’ heuristics, and ranks their suggestions related to merit and relevance. Our system employs deep learning, natural language processing and other predictive models to compare the combination of text and image extracts and suggest a suitable solution to the farmer’s query. The efficiency of the employed models is evaluated to avoid false positives, and the models are implemented on social media to address plant diseases and other relevant details as a part of evolving smart agriculture.

Suggested Citation

  • M. Saravanan & Satheesh K. Perepu, 2019. "Realizing Social-Media-Based Analytics for Smart Agriculture," The Review of Socionetwork Strategies, Springer, vol. 13(1), pages 33-53, June.
    • Handle: RePEc:spr:trosos:v:13:y:2019:i:1:d:10.1007_s12626-019-00035-3
    DOI: 10.1007/s12626-019-00035-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12626-019-00035-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12626-019-00035-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wolfert, Sjaak & Ge, Lan & Verdouw, Cor & Bogaardt, Marc-Jeroen, 2017. "Big Data in Smart Farming – A review," Agricultural Systems, Elsevier, vol. 153(C), pages 69-80.
    2. Leslie Lipper & Philip Thornton & Bruce M. Campbell & Tobias Baedeker & Ademola Braimoh & Martin Bwalya & Patrick Caron & Andrea Cattaneo & Dennis Garrity & Kevin Henry & Ryan Hottle & Louise Jackson , 2014. "Climate-smart agriculture for food security," Nature Climate Change, Nature, vol. 4(12), pages 1068-1072, December.
    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. Effrosyni Bitakou & Sotirios Karetsos & Filotheos Ntalianis & Maria Ntaliani & Constantina Costopoulou, 2023. "Evaluating Social Media Marketing in the Greek Winery Industry," Sustainability, MDPI, vol. 16(1), pages 1-22, December.

    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. Iban, Muzaffer Can & Aksu, Oktay, 2020. "A model for big spatial rural data infrastructure in Turkey: Sensor-driven and integrative approach," Land Use Policy, Elsevier, vol. 91(C).
    2. Lin Xie & Biliang Luo & Wenjing Zhong, 2021. "How Are Smallholder Farmers Involved in Digital Agriculture in Developing Countries: A Case Study from China," Land, MDPI, vol. 10(3), pages 1-16, March.
    3. Oliver Falck & Johannes Koenen, 2020. "Rohstoff „Daten“: Volkswirtschaflicher Nutzen von Datenbereitstellung – eine Bestandsaufnahme," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 113.
    4. Ascui, Francisco & Ball, Alex & Kahn, Lewis & Rowe, James, 2021. "Is operationalising natural capital risk assessment practicable?," Ecosystem Services, Elsevier, vol. 52(C).
    5. Jeetendra Prakash Aryal & Cathy R. Farnworth & Ritika Khurana & Srabashi Ray & Tek B. Sapkota & Dil Bahadur Rahut, 2020. "Does women’s participation in agricultural technology adoption decisions affect the adoption of climate‐smart agriculture? Insights from Indo‐Gangetic Plains of India," Review of Development Economics, Wiley Blackwell, vol. 24(3), pages 973-990, August.
    6. Pigford, Ashlee-Ann E. & Hickey, Gordon M. & Klerkx, Laurens, 2018. "Beyond agricultural innovation systems? Exploring an agricultural innovation ecosystems approach for niche design and development in sustainability transitions," Agricultural Systems, Elsevier, vol. 164(C), pages 116-121.
    7. Tianyu Qin & Lijun Wang & Yanxin Zhou & Liyue Guo & Gaoming Jiang & Lei Zhang, 2022. "Digital Technology-and-Services-Driven Sustainable Transformation of Agriculture: Cases of China and the EU," Agriculture, MDPI, vol. 12(2), pages 1-16, February.
    8. Islam, Zeenatul & Sabiha, Noor E & Salim, Ruhul, 2022. "Integrated environment-smart agricultural practices: A strategy towards climate-resilient agriculture," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 59-72.
    9. Nelson Mango & Clifton Makate & Lulseged Tamene & Powell Mponela & Gift Ndengu, 2018. "Adoption of Small-Scale Irrigation Farming as a Climate-Smart Agriculture Practice and Its Influence on Household Income in the Chinyanja Triangle, Southern Africa," Land, MDPI, vol. 7(2), pages 1-19, April.
    10. Kibria, Abu SMG & Costanza, Robert & Soto, José R, 2022. "Modeling the complex associations of human wellbeing dimensions in a coupled human-natural system: In contexts of marginalized communities," Ecological Modelling, Elsevier, vol. 466(C).
    11. Viet, Nguyen Quoc & Behdani, Behzad & Bloemhof, Jacqueline, 2018. "Value of Information to Improve Daily Operations in High-Density Logistics," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 9(1), January.
    12. Thomas M. Koutsos & Georgios C. Menexes & Andreas P. Mamolos, 2021. "The Use of Crop Yield Autocorrelation Data as a Sustainable Approach to Adjust Agronomic Inputs," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    13. Maren Radeny & Elizaphan J. O. Rao & Maurice Juma Ogada & John W. Recha & Dawit Solomon, 2022. "Impacts of climate-smart crop varieties and livestock breeds on the food security of smallholder farmers in Kenya," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(6), pages 1511-1535, December.
    14. Ignaciuk, Ada & Malevolti, Giulia & Scognamillo, Antonio & Sitko, Nicholas J., 2022. "Can food aid relax farmers’ constraints to adopting climate-adaptive agricultural practices? Evidence from Ethiopia, Malawi and the United Republic of Tanzania," ESA Working Papers 324073, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    15. Li, Lei & Lin, Jiabao & Ouyang, Ye & Luo, Xin (Robert), 2022. "Evaluating the impact of big data analytics usage on the decision-making quality of organizations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    16. Panos Constantinides & Ola Henfridsson & Geoffrey G. Parker, 2018. "Introduction—Platforms and Infrastructures in the Digital Age," Information Systems Research, INFORMS, vol. 29(2), pages 381-400, June.
    17. Scognamillo, Antonio & Sitko, Nicholas J., 2021. "Leveraging social protection to advance climate-smart agriculture: An empirical analysis of the impacts of Malawi’s Social Action Fund (MASAF) on farmers’ adoption decisions and welfare outcomes," World Development, Elsevier, vol. 146(C).
    18. Dongrui Han & Hongyan Cai & Xiaohuan Yang & Xinliang Xu, 2020. "Multi-Source Data Modeling of the Spatial Distribution of Winter Wheat Yield in China from 2000 to 2015," Sustainability, MDPI, vol. 12(13), pages 1-16, July.
    19. Helena Shilomboleni, 2020. "Political economy challenges for climate smart agriculture in Africa," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 37(4), pages 1195-1206, December.
    20. Fengwan Zhang & Xueling Bao & Xin Deng & Dingde Xu, 2022. "Rural Land Transfer in the Information Age: Can Internet Use Affect Farmers’ Land Transfer-In?," Land, MDPI, vol. 11(10), pages 1-14, October.

    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:spr:trosos:v:13:y:2019:i:1:d:10.1007_s12626-019-00035-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.