Internet and Computers for Agriculture

Given the current growth in global challenges, the need for smart agriculture practices and effective strategies is emerging as an imminent issue at a planetary scale. Agriculture 4.0 involves a large variety of mobile apps, web applications, Internet of Things (IoT) devices and platforms, drones, r...

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Detalles Bibliográficos
Autor Corporativo: Dimitrov, Dimitre
Formato: Livro
Idioma:Inglês
Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2023
Assuntos:
bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
bic Book Industry Communication::T Technology, engineering, agriculture
grape varieties identification
Support Vector Machine (SVM)
Convolutional Neural Network (CNN)
deep feature fusion
Canonical Correlation Analysis (CCA)
smart machinery
digital agriculture
Chinese agricultural diseases and pests
named entity recognition
adversarial training
semantic enhancement
technology innovation
food processing
transition pathways
sustainable food systems
transformation
smart farming
IoT
WSN
containerization
multi-agent
neural network
LSTM
leisure agricultural park
traveler group
COVID-19 pandemic
fuzzy collaborative intelligence
machine vision
maize seeds
classification
deep learning
convolutional neural network
decision support systems
agricultural water management
water security
data-driven modeling
conceptual resilience model
input uncertainty
climate extreme
process-based modeling
vehicle routing problem
fresh agricultural products
split delivery
NSGA-II algorithm
farm management information system
farmers’ information needs assessment
soft system methodology
smallholder farmers
conceptual model
Indonesian chili farmers
residual block
attention mechanism
grape leaf disease
aquatic products price forecast
VMD
IBES
hybrid model
precision agriculture
sensor network
semi-literate farmers
interactive interface
User Interface (UI)
Android apps
machine learning
regression algorithms
web application
early prediction of crop yield
grape detection
self-attention
buffalo breeds
Neural Networks
Self Activated CNN
DeepLabv3+
semantic segmentation
picking point identification
e-commerce interest linkage
participation willingness and behaviors
government policies
farmers’ cognition
evolutionary game model
structural equation model
object detection
YOLOv7
hemp duck count
smart agriculture
LoRaWAN
water status
supply chain
horticulture
logistics
operations
planning framework
decision support
n/a
Acceso en liña:https://directory.doabooks.org/handle/20.500.12854/98794
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