Application of Remote Sensing Data in Crop Yield and Quality: Systematic Literature Review
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, bes...
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Format: | Article |
Language: | English |
Published: |
Technical University of Kosice
2022-11-01
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Series: | Kvalita Inovácia Prosperita |
Subjects: | |
Online Access: | https://www.qip-journal.eu/index.php/QIP/article/view/1708 |
Summary: | 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.
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ISSN: | 1335-1745 1338-984X |