Definition
Remote sensing (RS) – remote sensing refers to the use of sensors to detect the radiation and reflection characteristics of the electromagnetic waves of objects.
Airborne remote sensing system – downward- or sideward-looking sensors are mounted on an aircraft to obtain images of the Earth’s surface.
Spatial statistics – spatial statistics are metrics based on statistical tools used to characterize the distribution of events across space.
Geographic information systems (GIS) – GIS technology represents a variety of spatial and dynamic geographic information supported by geospatial methods, and/or geographic model analysis methods.
Spatial resolution – spatial resolution refers to the size of the smallest unit that can be distinguished in detail in remote sensing images and is an index used to characterize the details of ground targets in images.
Variable Rate Technology (VRT) – Variable Rate Technology describes any technique that enables producers to change the rate of crop...
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2023 Springer Nature Switzerland AG
About this entry
Cite this entry
Lan, Y., Xu, W. (2023). Precision Agricultural Aviation for Agrochemical Applications. In: Zhang, Q. (eds) Encyclopedia of Smart Agriculture Technologies. Springer, Cham. https://doi.org/10.1007/978-3-030-89123-7_97-1
Download citation
DOI: https://doi.org/10.1007/978-3-030-89123-7_97-1
Received:
Accepted:
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-89123-7
Online ISBN: 978-3-030-89123-7
eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences
Publish with us
Chapter history
-
Latest
Precision Agricultural Aviation for Agrochemical Applications- Published:
- 22 April 2023
DOI: https://doi.org/10.1007/978-3-030-89123-7_97-2
-
Original
Precision Agricultural Aviation for Agrochemical Applications- Published:
- 13 January 2023
DOI: https://doi.org/10.1007/978-3-030-89123-7_97-1