A Conceptual Model for Development of Small Farm Management Information System: A Case of Indonesian Smallholder Chili Farmers
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 f...
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MDPI AG
2022-06-01
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Series: | Agriculture |
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Online Access: | https://www.mdpi.com/2077-0472/12/6/866 |
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author | Henriyadi Henriyadi Vatcharaporn Esichaikul Chutiporn Anutariya |
author_facet | Henriyadi Henriyadi Vatcharaporn Esichaikul Chutiporn Anutariya |
author_sort | Henriyadi Henriyadi |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-10T00:41:43Z |
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id | doaj.art-e8bb97bf627e4e7ab2e0bda28ad02eba |
institution | Directory Open Access Journal |
issn | 2077-0472 |
language | English |
last_indexed | 2024-03-10T00:41:43Z |
publishDate | 2022-06-01 |
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series | Agriculture |
spelling | doaj.art-e8bb97bf627e4e7ab2e0bda28ad02eba2023-11-23T15:07:57ZengMDPI AGAgriculture2077-04722022-06-0112686610.3390/agriculture12060866A Conceptual Model for Development of Small Farm Management Information System: A Case of Indonesian Smallholder Chili FarmersHenriyadi Henriyadi0Vatcharaporn Esichaikul1Chutiporn Anutariya2ICT Department, School of Engineering and Technology, Asian Institute of Technology, Khlong Luang District, Pathum Thani 12120, ThailandICT Department, School of Engineering and Technology, Asian Institute of Technology, Khlong Luang District, Pathum Thani 12120, ThailandICT Department, School of Engineering and Technology, Asian Institute of Technology, Khlong Luang District, Pathum Thani 12120, ThailandFarm 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.https://www.mdpi.com/2077-0472/12/6/866farm management information systemfarmers’ information needs assessmentsoft system methodologysmallholder farmersconceptual modelIndonesian chili farmers |
spellingShingle | Henriyadi Henriyadi Vatcharaporn Esichaikul Chutiporn Anutariya A Conceptual Model for Development of Small Farm Management Information System: A Case of Indonesian Smallholder Chili Farmers Agriculture farm management information system farmers’ information needs assessment soft system methodology smallholder farmers conceptual model Indonesian chili farmers |
title | A Conceptual Model for Development of Small Farm Management Information System: A Case of Indonesian Smallholder Chili Farmers |
title_full | A Conceptual Model for Development of Small Farm Management Information System: A Case of Indonesian Smallholder Chili Farmers |
title_fullStr | A Conceptual Model for Development of Small Farm Management Information System: A Case of Indonesian Smallholder Chili Farmers |
title_full_unstemmed | A Conceptual Model for Development of Small Farm Management Information System: A Case of Indonesian Smallholder Chili Farmers |
title_short | A Conceptual Model for Development of Small Farm Management Information System: A Case of Indonesian Smallholder Chili Farmers |
title_sort | conceptual model for development of small farm management information system a case of indonesian smallholder chili farmers |
topic | farm management information system farmers’ information needs assessment soft system methodology smallholder farmers conceptual model Indonesian chili farmers |
url | https://www.mdpi.com/2077-0472/12/6/866 |
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