Data Lifecycle Management in Precision Agriculture Supported by Information and Communication Technology

被引:15
|
作者
Demestichas, Konstantinos [1 ]
Daskalakis, Emmanouil [1 ]
机构
[1] Natl Tech Univ Athens, Sch Elect & Comp Engn, Inst Commun & Comp Syst, Athens 15773, Greece
来源
AGRONOMY-BASEL | 2020年 / 10卷 / 11期
关键词
precision agriculture; internet of things; big data; data analytics; blockchain; artificial intelligence; cyber-physical systems; BIG DATA; SYSTEM; INDEX; INTELLIGENCE; ENVIRONMENT; ANALYTICS; INTERNET; MODEL; IOT;
D O I
10.3390/agronomy10111648
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Featured Application: This paper conducts a literature review on information and communication solutions supporting data lifecycle in precision agriculture. The role of agriculture in environmental degradation and climate change has been at the center of a long-lasting and controversial debate. This situation combined with the expected growth in crop demand and the increasing prices of fertilizers and pesticides has made the need for a more resource-efficient and environmentally sustainable agriculture more evident than ever. Precision agriculture (PA), as a relatively new farming management concept, aims to improve crop performance as well as to reduce the environmental footprint by utilizing information about the temporal and the spatial variability of crops. Information and communication technology (ICT) systems have influenced and shaped every part of modern life, and PA is no exception. The current paper conducts a literature review of prominent ICT solutions, focusing on their role in supporting different phases of the lifecycle of PA-related data. In addition to this, a data lifecycle model was developed as part of a novel categorization approach for the analyzed solutions.
引用
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页数:21
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