Detail Cantuman Kembali
Fruit Industry
Crop models and remote sensing techniques have been combined and applied in agriculture and
crop estimation on local and regional scales, or worldwide, based on the simultaneous development
of crop models and remote sensing. The literature shows that many new remote sensing sensors
and valuable methods have been developed for the retrieval of canopy state variables and soil
properties from remote sensing data for assimilating the retrieved variables into crop models. At
the same time, remote sensing has been used in a staggering number of applications for agriculture.
This book sets the context for remote sensing and modelling for agricultural systems as a mean to
minimize the environmental impact, while increasing production and productivity. The eighteen
papers published in this Special Issue, although not representative of all the work carried out in the
field of Remote Sensing for agriculture and crop modeling, provide insight into the diversity and the
complexity of developments of RS applications in agriculture. Five thematic focuses have emerged
from the published papers: yield estimation, land cover mapping, soil nutrient balance, time-specific
management zone delineation and the use of UAV as agricultural aerial sprayers. All contributions
exploited the use of remote sensing data from different platforms (UAV, Sentinel, Landsat, QuickBird,
CBERS, MODIS, WorldView), their assimilation into crop models (DSSAT, AQUACROP, EPIC,
DELPHI) or on the synergy of Remote Sensing and modeling, applied to cardamom, wheat, tomato,
sorghum, rice, sugarcane and olive.
The intended audience is researchers and postgraduate students, as well as those outside
academia in policy and practice.
978-1-80355-449-5
NONE
Text
Inggris
IntechOpen
2022
London
158 hlm.
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