Proposal for a framework to manage the barriers that hinder the development of agriculture 4.0 in the agricultural production chain

被引:6
|
作者
da Silveira, Franco [1 ]
Barbedo, Jayme Garcia Arnal [2 ]
da Silva, Sabrina Leticia Couto [3 ]
Amaral, Fernando Goncalves [1 ]
机构
[1] Univ Fed Rio Grande Do Sul, Postgrad Program Ind Engn, Ave Osvaldo Aranha 99, BR-90035190 Porto Alegre, RS, Brazil
[2] Embrapa Agr Digital, Av Andre Tosello 209,CP 6041, BR-13083886 Campinas, SP, Brazil
[3] Fed Inst Educ Sci & Technol Rio Grande Do Sul, Campus Porto Alegre, Rio Grande, RS, Brazil
关键词
Digital agriculture; Agriculture; 4.0; Barriers; Adoption; ISM; MICMAC; BIG DATA; SMART; TECHNOLOGY; IOT; SUSTAINABILITY; IMPLEMENTATION; CONSTRUCTION; CHALLENGES; SYSTEM; CHINA;
D O I
10.1016/j.compag.2023.108281
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Agriculture 4.0 technologies like the internet of things, machine learning, unmanned aerial vehicles, big data analytics, robotics, and artificial intelligence can benefit all stages and processes of the agricultural production chain. However, there are no suitable frameworks aimed at creating strategies to overcome the barriers that hinder agriculture 4.0. In developing countries, discussions about this scenario are less comprehensive and require more attention. This is the case of Brazil, one of the major players in agribusiness in the world, which has great potential to expand the reach of agriculture 4.0. The objective of this research is to propose a framework to manage the barriers to the introduction of agriculture 4.0 to the agricultural production chain in the southern region of Brazil. Twenty-five barriers were selected through a Systematic Literature Review (SLR). The barriers were validated through the perception of farmers, and a confirmatory factor analysis was adopted in the validation process. Next, specialists in the field developed contextual relationships between the barriers. The Interpretive Structural Modeling (ISM) method was applied, as well as the Matrix Impact of Cross Multiplication Applied to Classification (MICMAC) analysis, which allowed identifying the barriers of agriculture 4.0 that have a high driving power and those that are dependent. The proposed framework shows the hierarchy between the barriers of agriculture 4.0, highlighting their different relationships and thus highlighting which ones should be prioritized for a more successful implementation. This study provides a better understanding of the existing literature on the barriers of agriculture 4.0 and identifies the practical implications that affect its implementation. It is hoped that this study will serve as a guide to the implementation of agriculture 4.0 by helping to direct the efforts towards the removal of the most important barriers.
引用
收藏
页数:18
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共 47 条
  • [31] A QUANTITATIVE FRAMEWORK FOR LIVESTOCK DEVELOPMENT-PLANNING .4. TESTING A LIVESTOCK PRODUCTION PROPOSAL
    GARTNER, JA
    HALLAM, D
    [J]. AGRICULTURAL SYSTEMS, 1986, 19 (04) : 273 - 298
  • [32] Framework development and evaluation of Industry 4.0 technological aspects towards improving the circular economy-based supply chain
    Agarwal, Somesh
    Tyagi, Mohit
    Garg, Rajiv Kumar
    [J]. INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2022, 49 (03): : 555 - 581
  • [33] AGRICULTURE IN MOUNTAIN AREAS OF PODKARPACKIE VOIVODSHIP, POLAND: DEFINITION, CHARACTERISTICS, LIMITATIONS IN AGRICULTURAL PRODUCTION, DEFICITS AND DEVELOPMENT OPPORTUNITIES
    ZAJAC, Stanislaw
    KUSZ, Dariusz
    [J]. SCIENTIFIC PAPERS-SERIES MANAGEMENT ECONOMIC ENGINEERING IN AGRICULTURE AND RURAL DEVELOPMENT, 2022, 22 (02) : 791 - 800
  • [34] Development of a Hybrid Simulation Framework for the Production Planning Process in the Atlantic Salmon Supply Chain
    Vempiliyath, Thomas
    Thakur, Maitri
    Hargaden, Vincent
    [J]. AGRICULTURE-BASEL, 2021, 11 (10):
  • [35] Energy Efficient Production through a Modified - Green-PPC and a Communication Framework for the Energy Supply Chain to Manage Energy Consumption and Information
    Brandenburg, Ulrich
    Kropp, Sebastian
    Sunyer, Jorge
    Batalla-Navarro, Daniel
    [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: COMPETITIVE MANUFACTURING FOR INNOVATIVE PRODUCTS AND SERVICES, AMPS 2012, PT I, 2013, 397 : 9 - 16
  • [36] The changes in sociospatial Tabapuã/SP resulting from dynamic agricultural production: understanding rural development and agriculture family stay
    Pelisson, Guilherme Valagna
    Souto, Thales Silveira
    [J]. REVISTA ACTA GEOGRAFICA, 2022, 16 (40): : 64 - 85
  • [37] Development of green and low-carbon agriculture through grain production agglomeration and agricultural environmental efficiency improvement in China
    Lu, Hua
    Chen, Yijing
    Luo, Jiawei
    [J]. JOURNAL OF CLEANER PRODUCTION, 2024, 442
  • [38] STAGES OF THE DEVELOPMENT OF AGRICULTURAL PRODUCTION IN THE REPUBLIC OF BELARUS: TO THE 100TH ANNIVERSARY OF THE MINISTRY OF AGRICULTURE AND FOOD OF THE REPUBLIC OF BELARUS
    Zayats, L. K.
    Samsonovich, V. A.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF BELARUS-AGRARIAN SERIES, 2019, 57 (01): : 7 - 18
  • [39] Drone as a Service (DaaS) in promoting cleaner agricultural production and Circular Economy for ethical Sustainable Supply Chain development
    Mahroof, Kamran
    Omar, Amizan
    Rana, Nripendra P.
    Sivarajah, Uthayasankar
    Weerakkody, Vishanth
    [J]. JOURNAL OF CLEANER PRODUCTION, 2021, 287
  • [40] LONG-TERM LINES OF DEVELOPMENT IN AGRICULTURE - ECOLOGICAL LIMITS AND PROBLEMS OF AGRICULTURAL POLICY WITH PARTICULAR REFERENCE TO PLANT-PRODUCTION
    ARNOLD, H
    [J]. BERICHTE UBER LANDWIRTSCHAFT, 1983, 61 (03): : 321 - 344