Anton Čorňák, Radoslav Delina

Application of Remote Sensing Data in Crop Yield and Quality

Číslo: 3/2022
Periodikum: Quality Innovation Prosperity
DOI: 10.12776/qip.v26i3.1708

Klíčová slova: satellite imagery; crop growth model; remote sensing; crop yield quality; precision agriculture

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Anotace: 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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