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“Smart Agriculture” Information Technology and Agriculture Cross-Discipline Research and Development

The aim of this Special Issue is to explore and support the evolution of emerging digital technology applications in agriculture and biology, including but not limited to agriculture, data collection, data mining, bioinformatics, genomics, and phenomics, as well as applications of machine learning a...

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Formaat: Online
Taal:Engels
Gepubliceerd in: MDPI - Multidisciplinary Digital Publishing Institute 2024
Onderwerpen:
corn seeds
image identification
multi-scale feature fusion
deep learning
machine vision
improved DeepLabV3+
attention mechanism
image segmentation
strawberry
weed identification
Faster-R-CNN
FPN
ResNeXt
improved DeepLabv3+ model
semantic segmentation
transformer
weed recognition
appearance quality identification of ginseng
activation function
loss function
panchagavya
organic fertilizer
liquid fertilizer
automated fertilizer production
drip irrigation system
automated irrigation
soil texture
identification
DLAC-CNN-RF model
accuracy
laser heterodyne radiometer
carbon dioxide
methane
nitrous oxide
field measurement
pest identification
FCN
DenseNet
maize leaf disease
digital agriculture
seed metering device
monitoring system
photoelectric sensor
miss
multiples
flow rate
smart agriculture
citrus diseases
generative adversarial network
classification network
FastGAN
EfficientNet
septoriosis
Septoria tritici blotch
hyperspectral signature
hyperspectral disease detection
data science
neural network
wheat
seed vigor
spectral detection technology
image detection technology
Information communication technology
agriculture
ensemble learning
Gaussian probabilistic method function
convolutional neural network
support vector machines
crop phenotype
maize
stem diameter
morphological gradient
target region
YOLOv7-tiny-Apple
small target
fruit detection and counting
crop seedling detection
dense target detection
lightweight transformer
YOLOv5
edible fungi fruit body
disease recognition
ShuffleNetV2
spatial data quality
data quality assessment
data quality dimensions
interpolation
classification
n/a
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
Online toegang:ONIX_20240514_9783725808182_502
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Samenvatting:The aim of this Special Issue is to explore and support the evolution of emerging digital technology applications in agriculture and biology, including but not limited to agriculture, data collection, data mining, bioinformatics, genomics, and phenomics, as well as applications of machine learning and artificial intelligence. The development of a community to support this goal requires the cross-linking and integration of multiple sources of agricultural research across 3S technologies (remote sensing—RS; geographic information systems—GIS; global positioning systems—GPS).

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