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.
CITATION STYLE
Čorňák, A., & Delina, R. (2022). Application of Remote Sensing Data in Crop Yield and Quality: Systematic Literature Review. Quality Innovation Prosperity, 26(3), 22–36. https://doi.org/10.12776/qip.v26i3.1708
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