IDEAS home Printed from https://ideas.repec.org/a/ags/ajaees/367301.html

Availability of Information and Communication Technology among the Agricultural Line Department Officials of Odisha

Author

Listed:
  • Sajeev, Bhavana
  • Mohapatra, B. P.

Abstract

To evaluate the availability of information and communication technology among the agricultural department staff in the year 2021, a study was carried out in the Khordha district of the state of Odisha. The stratified random sample approach was used to choose 105 respondents for the current study, comprising 22 district level, 59 block level and 24 village level agricultural officers. Ex-post facto research design was employed for the study while taking into consideration the sampling method. The data collected was statistically analysed using frequency, percentage and mean score. The study found that the majority of the district level officers (100%) had the availability of Microsoft package, a laptop, internet services, social media, e-mail, web-based search engines, a modem, a mobile phone, headphones, a television and video conferencing and block level officers (100%) had the availability of Microsoft package, a laptop, internet services, social media, e-mail, web-based search engines, a modem, a mobile phone, a television and videoconferencing whereas the village level agricultural officers (100%) had the availability of only mobile phone and television. A functioning in the ICT tools can be handled with good awareness and training dependable electricity in the workplaces.

Suggested Citation

  • Sajeev, Bhavana & Mohapatra, B. P., 2022. "Availability of Information and Communication Technology among the Agricultural Line Department Officials of Odisha," Asian Journal of Agricultural Extension, Economics & Sociology, Asian Journal of Agricultural Extension, Economics & Sociology, vol. 40(11), pages 1-6.
    • Handle: RePEc:ags:ajaees:367301
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/367301/files/sciencedomain%2C%2BSajeev40112022AJAEES94182.pdf
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Sanaz Nikghadam-Hojjati & Eda Marchetti & José Barata, 2026. "Women-led sustainable innovation in small island agriculture: challenges and barriers," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-26, December.
    3. Ronaghi, Mohammad Hossein & Forouharfar, Amir, 2020. "A contextualized study of the usage of the Internet of things (IoTs) in smart farming in a typical Middle Eastern country within the context of Unified Theory of Acceptance and Use of Technology model (UTAUT)," Technology in Society, Elsevier, vol. 63(C).
    4. Meinhard Breiling, 2021. "Global rural value chains and the role of natural disasters in their transformation," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 23(3), pages 540-567, December.
    5. de Vries, Jasper R. & Turner, James A. & Finlay-Smits, Susanna & Ryan, Alyssa & Klerkx, Laurens, . "Trust in agri-food value chains: a systematic review," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 26(2).
    6. 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.
    7. Hrosul, Viktoriia & Kruhlova, Olena & Kolesnyk, Alina, 2023. "Digitalization of the agricultural sector: the impact of ICT on the development of enterprises in Ukraine," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(4), December.
    8. Vasavi, S. & Anandaraja, N. & Murugan, P.P. & Latha, M.R. & Pangayar Selvi, R., 2025. "Challenges and strategies of resource poor farmers in adoption of innovative farming technologies: A comprehensive review," Agricultural Systems, Elsevier, vol. 227(C).
    9. Ascui, Francisco & Ball, Alex & Kahn, Lewis & Rowe, James, 2021. "Is operationalising natural capital risk assessment practicable?," Ecosystem Services, Elsevier, vol. 52(C).
    10. Oksana Hrynevych & Miguel Blanco Canto & Mercedes Jiménez García, 2022. "Tendencies of Precision Agriculture in Ukraine: Disruptive Smart Farming Tools as Cooperation Drivers," Agriculture, MDPI, vol. 12(5), pages 1-15, May.
    11. Huo, Dongyang & Malik, Asad Waqar & Ravana, Sri Devi & Rahman, Anis Ur & Ahmedy, Ismail, 2024. "Mapping smart farming: Addressing agricultural challenges in data-driven era," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    12. Shen, Zhiyang & Wang, Songkai & Boussemart, Jean-Philippe & Hao, Yu, 2022. "Digital transition and green growth in Chinese agriculture," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    13. Iordanis Parikoglou & Grigorios Emvalomatis & Fiona Thorne, 2022. "Precision livestock agriculture and productive efficiency: The case of milk recording in Ireland," Agricultural Economics, International Association of Agricultural Economists, vol. 53(S1), pages 109-120, November.
    14. Bae, Sang Hoo & Saberi, Sara & Kouhizadeh, Mahtab & Sarkis, Joseph, 2025. "Examining blockchain's role in supply chain finance structure and governance," International Review of Financial Analysis, Elsevier, vol. 99(C).
    15. Tadas Limba & Andrejus Novikovas & Andrius Stankevičius & Antanas Andrulevičius & Manuela Tvaronavičienė, 2020. "Big Data Manifestation in Municipal Waste Management and Cryptocurrency Sectors: Positive and Negative Implementation Factors," Sustainability, MDPI, vol. 12(7), pages 1-14, April.
    16. Xueling Li & Yujie Long & Meixi Fan & Yong Chen, 2022. "Drilling down artificial intelligence in entrepreneurial management: A bibliometric perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 379-396, May.
    17. Taheri, Fatemeh & D'Haese, Marijke & Fiems, Dieter & Azadi, Hossein, 2022. "The intentions of agricultural professionals towards diffusing wireless sensor networks: Application of technology acceptance model in Southwest Iran," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    18. Ehlers, Melf-Hinrich & Finger, Robert & El Benni, Nadja & Gocht, Alexander & Sørensen, Claus Aage Grøn & Gusset, Markus & Pfeifer, Catherine & Poppe, Krijn & Regan, Áine & Rose, David Christian & Wolf, 2022. "Scenarios for European agricultural policymaking in the era of digitalisation," Agricultural Systems, Elsevier, vol. 196(C).
    19. Zou, Baoling & Mishra, Ashok K., 2022. "Engaging Information Technology in Farmland Rental Market: An Empirical Study from Rural China," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322265, Agricultural and Applied Economics Association.
    20. Issa, Helmi & Jabbouri, Rachid & Palmer, Mark, 2022. "An artificial intelligence (AI)-readiness and adoption framework for AgriTech firms," Technological Forecasting and Social Change, Elsevier, vol. 182(C).

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    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:ags:ajaees:367301. 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: AgEcon Search (email available below). General contact details of provider: https://journalajaees.com/index.php/AJAEES/index .

    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.