Towards Smart Agriculture: An Overview of Big Data in the Agricultural Industry

被引:0
作者
Ayala-Chauvin, Manuel [1 ]
Aviles-Castillo, Fatima [1 ]
机构
[1] Univ Tecnolog Indoamer, Ctr Invest Ciencias Humanas & Educ, Carrera Ingn Ind, Ambato 180103, Ecuador
来源
TECHNOLOGIES AND INNOVATION, CITI 2024 | 2025年 / 2276卷
关键词
Big data; Smart Agriculture; Data analysis; Resource Optimization;
D O I
10.1007/978-3-031-75702-0_3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Agriculture is currently undergoing progressive diversification and expansion, as demonstrated by the wide range of research topics and methodologies being employed. The growing need for technology to enhance agricultural processes is increasingly evident and prominently highlighted in recent studies. To assess the influence of Big Data on agriculture and its potential to advance Smart Agriculture, this bibliometric study was conducted. The research consolidates bibliometric data from the Scopus database, using the Bibliometrix package to identify trends in this field. The findings show a growing annual publication rate, indicating increasing interest in the integration of data analysis methodologies within agriculture. The collaborative nature of the research, combined with a high citation rate per document and diversity of key terms, underscores the importance of this field and its potential contribution to achieving Smart Agriculture. The convergence of Big Data, the Internet of Things, and agriculture is particularly noteworthy, as these technologies are improving decision-making and efficiency in the agricultural sector. Despite certain limitations, this study highlights the transformative potential of these advancements and suggests areas for future research, thus laying the groundwork for a more sustainable, productive, and intelligent agricultural future.
引用
收藏
页码:28 / 39
页数:12
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