Smart agriculture as source of sustainability in intensive greenhouse production

被引:0
作者
Hernandez, Victor Eduardo Gonzalez [1 ]
Perez-Mesa, Juan Carlos [1 ]
Jimenez, Jeronimo de Burgos [1 ]
Galdeano-Gomez, Emilio [1 ]
机构
[1] CIMEDES, Mediterranean Res Ctr Econ & Sustainable Dev, Almeria, Spain
来源
INTERNATIONAL FOOD AND AGRIBUSINESS MANAGEMENT REVIEW | 2024年 / 27卷 / 05期
关键词
mart agriculture; sustainability; value chain; PRECISION AGRICULTURE; SUPPLY CHAINS; FOOD; CHALLENGES; MANAGEMENT; SYSTEMS; FUTURE;
D O I
10.22434/IFAMR.1100
中图分类号
F3 [农业经济];
学科分类号
0202 ; 020205 ; 1203 ;
摘要
The article addresses the interaction between smart agriculture and sustainability within the specific context of intensive greenhouse agriculture in southeast Spain. Combining a literature review and expert interviews, the methodology is based on a qualitative data analysis, whose main goal is to gain a comprehensive understanding of the phenomenon under study. The results identify three key areas of technology that strongly influence this type of agriculture. The first relates to soil, water savings, sensor utilization, and environmental improvement, while the second encompasses robot use, labor reduction, resulting cost improvement, and economic sustainability. Finally, the third group, albeit of lesser importance, links artificial intelligence with ethical issues such as data control, usage, and technological dependence. In summary, the application of smart agriculture is projected to have positive impacts on economic and environmental sustainability, relegating the social dimension to a more distant level. This imbalance suggests that social and ethical aspects could be subordinated to more immediate benefits. The results also suggest that the need for future investments could create polarization in the sector. Not all farmers and businesses can afford these investments, leading to progressive deterioration and even abandonment of agricultural activities in some cases.
引用
收藏
页码:882 / 902
页数:21
相关论文
共 74 条
  • [1] Aggarwal S., 2003, Proceedings of the Training Workshop, published by World Meteorological Organization, 7-11 July, Dehradun, P23
  • [2] Smart agriculture for food quality: facing climate change in the 21st century
    Agrimonti, Caterina
    Lauro, Marta
    Visioli, Giovanna
    [J]. CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION, 2021, 61 (06) : 971 - 981
  • [3] Ahearn MC, 2016, INT FOOD AGRIBUS MAN, V19, P155
  • [4] Ahmad S.F., 2020, Resources Use Efficiency in Agriculture, P109, DOI [10.1007/978-981-15-6953-14, DOI 10.1007/978-981-15-6953-14, 10.1007/978-981-15-6953-1_4, DOI 10.1007/978-981-15-6953-1_4]
  • [5] Step by step approach for qualitative data analysis
    Akinyode, Babatunde Femi
    Khan, Tareef Hayat
    [J]. INTERNATIONAL JOURNAL OF BUILT ENVIRONMENT AND SUSTAINABILITY, 2018, 5 (03): : 163 - 174
  • [6] Andalusian Ministry of Agriculture, 2024, Primer Plan Estrategico para las Frutas y Hortalizas de Invernadero de Andalucia Horizonte 2030
  • [7] [Anonymous], 2000, Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions: Tackling Online DisinformationA European Approach
  • [8] Babatunde O. M., 2019, International Journal of Energy Economics and Policy, V9, P308, DOI [DOI 10.32479/IJEEP.7775, https://doi.org/10.32479/ijeep.7775]
  • [9] Bach H, 2018, ISSI SCI REP SER, V15, P261, DOI 10.1007/978-3-319-65633-5_12
  • [10] Bakhtiari Amir Abbas., 2013, International Journal for Science and Emerging Technologies with Latest Trends, V5, P1