Application of Remote Sensing Data in Crop Yield and Quality: Systematic Literature Review

被引：0

作者：

Cornak, Anton ^{[1
]}

Delina, Radoslav ^{[1
]}

机构：

[1] Tech Univ Kosice, Fac Econ, Dept Banking & Investment, Kosice, Slovakia

来源：

QUALITY INNOVATION PROSPERITY-KVALITA INOVACIA PROSPERITA | 2022年 / 26卷 / 03期

关键词：

satellite imagery; crop growth model; remote sensing; crop yield quality; precision agriculture; ESTIMATION MODEL; NEURAL-NETWORKS; CERES-WHEAT; MODIS-LAI; MAIZE; GROWTH; ASSIMILATION;

D O I：

10.12776/QIP.V26I3.1708

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

Purpose: Covering current state of the art in the field of application of remotely sensed data in crop quality improvement. Methodology/Approach: Systematic literature review using novel text mining techniques.Findings: Relevance of topic, measured by number of relevant studies, is rising, best performing input data types and modelling techniques are identified.Research Limitation/Implication: Review to a certain point of time in a rapidly evolving field of research.Originality/Value of paper: There was no similar review article on the topic at the time of conducting this research.Category: Literature review

引用

页码：22 / 36

页数：15

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