Emerging Sensor Technology in Agriculture

Emerging Sensor Technology in Agriculture

Digital agriculture is gaining traction among scientists implementing different new and emerging sensor technologies to monitor complex soil–plant–atmosphere interactions in an accurate, cost-effective and user-friendly manner. This book presents some of the latest advances in this emerging area of...

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HerausgeberIn:
Poblete-Echeverria, Carlos
Sonstige:
Fuentes, Sigfredo
Poblete-Echeverria, Carlos
Year of Publication:2020
Language:English
Physical Description:1 electronic resource (240 p.)
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id 993545741904498
ctrlnum (CKB)5400000000041089
(oapen)https://directory.doabooks.org/handle/20.500.12854/69345
(EXLCZ)995400000000041089
collection bib_alma
record_format marc
spelling Fuentes, Sigfredo edt
Emerging Sensor Technology in Agriculture
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
1 electronic resource (240 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Digital agriculture is gaining traction among scientists implementing different new and emerging sensor technologies to monitor complex soil–plant–atmosphere interactions in an accurate, cost-effective and user-friendly manner. This book presents some of the latest advances in this emerging area of research. The diversity of applications in which digital agriculture can make an important difference in day-to-day farming decision making makes this discipline an important focus of research internationally.
English
Research & information: general bicssc
Geography bicssc
apple orchards
modeling and simulation
unmanned aerial vehicles
fruit ripeness
ethylene gas detection
3D crop modeling
remote sensing
on-ground sensing
depth images
parameter acquisition
capacitor sensor
deposit mass
pesticide droplets
formulations
ionization
CFD
airflow field test
monitoring method
spectral sensor
crop growth
computer vision
deep learning
image processing
pose estimation
animal detection
precision livestock
Citrus sinensis L. Osbeck
mechanical harvesting
acceleration sensor
vibration time
logistic regression
adaptive thresholding
fruit detection
parameter tuning
phenotype
phenotyping
phenomics
Triticum aestivum
water deficit
stress
infrared
leaf area index
cocoa beans
volatile compounds
artificial neural networks
VitiCanopy app
bushfires
infrared thermography
near-infrared spectroscopy
smoke taint
artificial intelligence
Kinect sensor
RGB
RGB-D
image segmentation
colour thresholding
bunch area
bunch volume
point cloud
mesh
surface reconstruction
image analysis
cluster morphology
machine learning
non-invasive sensing technologies
proximal sensing
precision viticulture
partial least square
support vector machine
Gaussian processes
soybean
pigeon pea
guar
tepary bean
3-03943-613-9
3-03943-614-7
Poblete-Echeverria, Carlos edt
Fuentes, Sigfredo oth
Poblete-Echeverria, Carlos oth
language English
format eBook
author2 Poblete-Echeverria, Carlos
Fuentes, Sigfredo
Poblete-Echeverria, Carlos
author_facet Poblete-Echeverria, Carlos
Fuentes, Sigfredo
Poblete-Echeverria, Carlos
author2_variant s f sf
c p e cpe
author2_role HerausgeberIn
Sonstige
Sonstige
title Emerging Sensor Technology in Agriculture
spellingShingle Emerging Sensor Technology in Agriculture
title_full Emerging Sensor Technology in Agriculture
title_fullStr Emerging Sensor Technology in Agriculture
title_full_unstemmed Emerging Sensor Technology in Agriculture
title_auth Emerging Sensor Technology in Agriculture
title_new Emerging Sensor Technology in Agriculture
title_sort emerging sensor technology in agriculture
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2020
physical 1 electronic resource (240 p.)
isbn 3-03943-613-9
3-03943-614-7
illustrated Not Illustrated
work_keys_str_mv AT fuentessigfredo emergingsensortechnologyinagriculture
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carrierType_str_mv cr
is_hierarchy_title Emerging Sensor Technology in Agriculture
author2_original_writing_str_mv noLinkedField
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