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A Conceptual Model for Development of Small Farm Management Information System: A Case of Indonesian Smallholder Chili Farmers

Author

Listed:
  • Henriyadi Henriyadi

    (ICT Department, School of Engineering and Technology, Asian Institute of Technology, Khlong Luang District, Pathum Thani 12120, Thailand)

  • Vatcharaporn Esichaikul

    (ICT Department, School of Engineering and Technology, Asian Institute of Technology, Khlong Luang District, Pathum Thani 12120, Thailand)

  • Chutiporn Anutariya

    (ICT Department, School of Engineering and Technology, Asian Institute of Technology, Khlong Luang District, Pathum Thani 12120, Thailand)

Abstract
Farm Management Information Systems (FMIS) assists farmers in managing their farms more effectively and efficiently. However, the use of FMIS to support crop cultivation is, at the present time, relatively expensive for smallholder farmers. Due to some handicaps, providing an FMIS that is suitable for small-holder farmers is a challenge. To analyze this gap, this study followed 3 steps, namely: (1) identified commodity and research area, (2) performed Farmers’ Information Needs Assessment (FINA), and (3) developed the conceptual model using the Soft System Methodology. Indonesian smallholder chili farmers are used as a case study. The most required information of smallholder’ farmers was identified through a qualitative questionnaire. Despite this, not all identified information needs could be accurately mapped. Thus, this indicates the need for a new FMIS conceptual model that is suitable for smallholder farmers. This study proposes an FMIS conceptual model for farm efficiency that incorporates five layers, namely farmers’ information needs, data quality assessment, data extraction, SMM (split, match and merge), and presentation layer. SMM layer also provides a method to comprehensively tackle three main problems in data interoperability problems, namely schema heterogeneity, schema granularity, and mismatch entity naming.

Suggested Citation

  • Henriyadi Henriyadi & Vatcharaporn Esichaikul & Chutiporn Anutariya, 2022. "A Conceptual Model for Development of Small Farm Management Information System: A Case of Indonesian Smallholder Chili Farmers," Agriculture, MDPI, vol. 12(6), pages 1-23, June.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:6:p:866-:d:839739
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    References listed on IDEAS

    as
    1. Graeub, Benjamin E. & Chappell, M. Jahi & Wittman, Hannah & Ledermann, Samuel & Kerr, Rachel Bezner & Gemmill-Herren, Barbara, 2016. "The State of Family Farms in the World," World Development, Elsevier, vol. 87(C), pages 1-15.
    2. Babu, Suresh Chandra & Glendenning, Claire J. & Okyere, Kwadwo Asenso & Govindarajan, Senthil Kumar, 2012. "Farmers' information needs and search behaviors: Case study in Tamil Nadu, India," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126226, International Association of Agricultural Economists.
    3. 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.
    4. Babu, Suresh Chandra & Glendenning, Claire J. & Asenso-Okyere, Kwadwo & Govindarajan, Senthil Kumar, 2012. "Farmers’ information needs and search behaviors: Case study in Tamil Nadu, India," IFPRI discussion papers 1165, International Food Policy Research Institute (IFPRI).
    5. Wickham, Hadley, 2011. "The Split-Apply-Combine Strategy for Data Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i01).
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    Cited by:

    1. Dimitre D. Dimitrov, 2023. "Internet and Computers for Agriculture," Agriculture, MDPI, vol. 13(1), pages 1-7, January.

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