Index
ISBN: 978-1-80117-499-2, eISBN: 978-1-80117-498-5
ISSN: 1877-6361
Publication date: 28 March 2022
This content is currently only available as a PDF
Citation
(2022), "Index", Mor, R.S., Kumar, D. and Singh, A. (Ed.) Agri-Food 4.0 (Advanced Series in Management, Vol. 27), Emerald Publishing Limited, Leeds, pp. 201-206. https://doi.org/10.1108/S1877-636120220000027015
Publisher
:Emerald Publishing Limited
Copyright © 2022 Rahul S Mor, Dinesh Kumar and Anupama Singh. Published under exclusive licence by Emerald Publishing Limited
INDEX
Accuracy (ACC)
, 100, 107–108
Active & Intelligent Packaging Industry Association (AIPIA)
, 166–167
Active packaging
, 167–168, 170
Agri-food 4.0
, 3
robotics and automation and food industry
, 190–193
robotics and automation for food products
, 193–195
strategies in food industry
, 195–196
Agri-food chain
, 2
revolution in
, 2–3
Agri-food Industry 4.0
, 3
Agri-food supply chain (AFSC)
, 17–18, 31–32
digital technologies used in
, 18–20
future of
, 20–24
participants
, 18
Agribusinesses
, 120–121
Agricultural sector
, 123, 141–142
Agriculture 4.0
, 186
Agriculture product quality monitoring system
, 100–106
feature extraction
, 102–105
image acquisition
, 102
Agritech industry
, 141–142
profile and AI benefits
, 146–150
profile and AI problems
, 150–155
Algorithms
, 34
Ammonia (NH3)
, 116
Analysis of Variance (ANOVA)
, 145
Antimicrobial packing
, 170
Antioxidant releaser/scavengers
, 170
Area feature of vegetable region
, 103
Artificial intelligence (AI)
, 18–19, 32, 34, 45, 67, 98, 190–191
AI-based agritech ecosystem
, 141–142
research methodology
, 145
results
, 145–155
review of literature
, 143–145
robotics
, 19–20
Automatic irrigation system
, 126
Automatic milking systems (AMS)
, 194
Automation
, 189–190, 193
for food products
, 193–195
Benzopyridines
, 172–173
Bibliometrics
, 4–6, 9
content analysis
, 8–9
descriptive analysis
, 6–8
Big Basket
, 34
Big data
, 98
analytics
, 32, 67, 185
Biosensors
, 171
Biotechnology
, 67
Bitcoin
, 35
Blockchain
, 35, 78
network
, 86–90
Blockchain technology (BCT)
, 18–19, 26–27, 32, 34, 66–67, 70–71, 78, 80, 184–185
Blockchain-based smart wheat supply chain model
design model for
, 80–95
design new supply chain parameter configuration
, 83–90
implementation details
, 91
literature review
, 79–80
real time information write in NFC-Tag
, 91–92
smart working functions of participants
, 81–83
validation
, 92–95
Bluetooth
, 117
Bluetooth Low Energy (BLE)
, 114–115
Blynk
, 130–131
Blynk App
, 131–133
Blynk Libraries
, 131
Blynk Server
, 131
Carbon dioxide (CO2)
, 116, 172
Carbon dioxide emitters
, 168–169
CB-SEM technique
, 70
Center of Excellence (CoE)
, 20–24
Challenges
, 17–18
Chatbot
, 193
Chi-square test
, 145
Circular economy
, 66
and environmental performance
, 69
hypotheses development
, 67–70
and operational performance
, 68–69
organizational performance
, 69–70
practices
, 66
Classifier for product quality assessment
, 105–106
Climate-smart agriculture (CSA)
, 6, 8–9
Cloud computing
, 98
in agriculture
, 118–119
of wheat supply chain information
, 94
Collaborative measures
, 20–24
Composting
, 62
Computer vision
, 98–99
Computer-aided molecular design (CAMD)
, 196
Connectivity protocols
, 117–118
Consumers
, 90
reshaping environment of
, 60–61
service
, 193
Contour features extraction
, 103–104
Cooperative Patent Classification (CPC)
, 5
Correspondence Analysis
, 145
Cost efficiency
, 26
Crofarm
, 34
Crop Performance
, 120
CryovacÒ OS2000™
, 170
Data
accumulation
, 119–120
acquisition
, 133
mining
, 119–120
modeling
, 119–120
preprocessing
, 119–120
quality
, 183
reduction
, 119–120
security
, 39
visualization capability
, 183
Data envelopment analysis (DEA)
, 112
Deep neural network-based techniques
, 99–100
Devices
, 116–117
DHT11 (Temperature and Humidity Sensor)
, 128
Digital flow of information and money
, 83–86
Digital technologies
, 17–18, 35
adoption and implementation
, 18
applications
, 21–23
future directions for research
, 26–27
industry perspective
, 24–26
measures for enhancing adoption of
, 20–24
used in agri-food supply chains
, 18–20
Digital twins
, 18–19, 34
Discrete element method (DEM)
, 195
Distributor
, 90, 92
Drip irrigation
, 124, 126
Drones
, 98
Dutch smart dairy project
, 112
e-Agriculture
, 34
e-NAM
, 34
Ecosystem
, 141–142
Edge computing in agriculture
, 118–119
Edge-IoT platform
, 112
Electrical conductivity (EC)
, 116
Elevator
, 91–92
Enterprise resource planning (ERP)
, 20–24
Environmental Performance Index (EPI)
, 112–113
Eschresian coli
, 172
Ether Address (EA)
, 81
European Patent Office (EPO)
, 5
False discovery rate (FDR)
, 100, 107
False Negatives (FN)
, 106–107
False positive rate (FPR)
, 100, 107
False Positives (FP)
, 106–107
Farmer
, 88–89, 91
Farmer producer organizations (FPOs)
, 20–24
Feature extraction
, 102–105
contour features extraction
, 103–104
HSV color conversion
, 102
texture information extraction
, 104–105
vegetable detection
, 102–103
Financial measures
, 20–24
Flavor
, 169
Flexibility
, 184
Food and Agriculture Organization (FAO)
, 2, 6, 32, 54
Food and Drug Administration (FDA)
, 34
Food distribution
, 193
Food grain supply chain
, 80
Food industry
, 189–190, 193
strategies in
, 195–196
Food loss
, 54
Food loss and waste (FLW)
, 53–54, 143
reduction
, 56, 62, 67–68
Food manufacturing
, 33–34
Food monitoring system
, 19
Food packaging
, 166
and storage
, 192–193
Food processing
, 191–192
Food procurement
, 190–191
Food quality
, 100–101
Food rescue
, 61–62
Food supply chain (FSC)
, 33–34, 53–54, 78
Food supply network
, 57
Food systems
, 78
Food waste
, 54, 56, 59
reduction
, 54, 56
FoodTech
, 3
Fourier-Transform Infrared Spectroscopy (FTIR Spectroscopy)
, 191–192
Fourth Industrial Revolution (4IR)
, 3, 20, 67
Freshness indicators
, 172
Gas indicators
, 173
Gas sensors
, 172
Geographical analysis
, 12
Geographical Information System (GIS)
, 180–182
Global Dry Land Alliance (GDLA)
, 6
Global Positioning System (GPS)
, 180–182
Globalization
, 69
Government measures
, 20–24
Grain elevator
, 89
Grain processor
, 89–90
Gray level cooccurrence matrix (GLCM)
, 104–105
Green packaging
, 174–175
Green practices
, 69–70
Greenhouse gas emissions (GHG emissions)
, 55
Grofers
, 34
Harvest losses
, 57
Harvest optimization
, 56–57
Highly perishable food product, robotics and automation for
, 194–195
HSV color conversion
, 102
Human resource measures
, 20–24
Humidity sensor
, 128–129, 132–133
Hydrogen sulfide (H2S)
, 172
Hyperspectral imaging
, 98–99
IBM-SPSS 21
, 145
Image acquisition
, 102
Image processing techniques
, 99–100
Indian Agriculture
, 142–143
Indicators
, 172–173
Industry 4.0
, 32, 36–37, 66, 179–180
hypotheses development
, 67–70
implications for policy-makers
, 185
key performance indicators
, 182–184
literature review
, 180–184
managerial implications
, 184–185
research implications
, 184
results
, 70–72
technologies
, 2–3
technologies and applications in agricultural supply chains
, 180, 182
Innovation
, 2–3
Integrated Development Environment (IDE)
, 132–133
Intelligent packaging
, 167, 171, 174
International Patent Classification (IPC)
, 5
Internet of Things (IoT)
, 3, 18–19, 32, 34, 45, 67, 80, 98, 111, 124–126, 190–191
in agriculture
, 113–114
applications
, 118
connectivity protocols
, 117–118
data accumulation
, 119–120
devices and sensors
, 116–117
edge computing and cloud computing in agriculture
, 118–119
IoT-based wireless agro-meter weather station sensor
, 112–113
literature survey
, 126
predictive analytics for smart farming
, 120–121
proposed system
, 132–135
research methodology
, 114
result
, 136–137
sensor categories and measurement parameters
, 117
system architecture
, 115
technology
, 126–132
Irrigation
, 124
Jumbotail
, 34
Jumper wires
, 130
“Krishi-Market”
, 34
Leaf Area Index (LAI)
, 116
Life cycle assessment (LCA)
, 196
Limonene
, 169
Low-power wide-area networking (LPWAN)
, 114–115
Machine vision-related technologies
, 98–99
Malaysian firms
, 66
Manufacturing execution systems (MES)
, 20–24
Material point method (MPM)
, 195
Mean
, 104
MICMAC Analysis
, 42–44
Microcontroller ATMEGA328P Arduino uno platform
, 126
Mixed reality
, 18–19
Modernization
, 32
Modified atmospheric packaging system (MAP)
, 168–169
Moisture absorbers
, 168
Nanotechnology
, 67
Natures Basket
, 34
Near-field communication (NFC)
, 78–79, 114–115
NEERxTechnovation in Gujarat
, 19
Ninjacart
, 34
Nitrogen dioxide (NO2)
, 116
Node MCU ESP8266
, 126–127
Nonperishable food product, robotics and automation for
, 195
Odor releaser
, 169
OnVu™
, 172–173
Operating System (OS)
, 132–133
Operational efficiency
, 26
Optical oxygen sensors
, 172
Optical wireless communication (OWC)
, 117
Optimization engine
, 34
Organizational measures
, 20–24
Overall equipment efficiency (OEE)
, 26
Oxidation-reduction potential (ORP)
, 116
Oxygen scavenger
, 169–170
OxysorbÒ
, 170
Packaging
, 166
advancement in packaging technologies for agri-food sector
, 166–175
Patent holders, analysis of
, 11–12
Patentometrics
, 5–6
Performance indicators
, 180
PEST model of analysis
, 19
Physical flow
, 83
Position-based dynamics (PBD)
, 195
Positive predictive value (PPV)
, 100, 107
Precision Agriculture
, 142–143
Precision farming
, 120
Predictive analytics for smart farming
, 120–121
PriceWaterhouseCoopers (PwC)
, 20–24
Printing
, 18–19
Process efficiency
, 26
Processor
, 92
Product demands
, 98
Product distribution
, 57–58
Product price
, 98
Product utilization maximization
, 59–60
Quality assurance
, 191–192
Questel Orbit Intelligence
, 5–6
Questionnaire
, 24
Radio Frequency Identification (RFID)
, 34, 80, 114–115, 173–174
Ranking of AI benefits
, 146
Ranking of AI problems
, 150
Reconfigurability
, 183–184
Recycle, reuse, and reduce (3Rs)
, 65–66
Recycling
, 62
Refining product management
, 58–59
Remote sensing techniques
, 98–99
Research questions (RQs)
, 179–180
Resource optimization capability
, 183
Retailer
, 90, 92
Risk management capability
, 183
Robotics
, 67, 189–190, 193
for food products
, 193–195
Robots
, 98
“S3 Product Development Reference” framework
, 17–18
SCARA robots
, 192
Scavengers
, 169–170
Science and technology (S&T)
, 3
Security algorithm for blocks
, 91
Seed supplier
, 88
Self-reactive oxygen scavenger
, 169–170
Semi-perishable food product, robotics and automation for
, 195
Sensors
, 116–117, 171–172
Shared peer-to-peer ledger
, 35
SHOOL (sensor)
, 19
Simple Mean
, 145
Single vision sensor
, 99–100
Small-to-Medium enterprises (SMEs)
, 36–37
Smart agriculture
, 98, 116
Smart contract
, 79
Smart drones
, 19–20
Smart farming, predictive analytics for
, 120–121
Smart Irrigation system
, 133
Smart packaging
, 167–174
challenges and opportunities
, 175
SmartAgriFood project
, 112
Software-as-a-service (Saas)
, 34
Soil
, 125
sensors
, 116
Solidity of vegetable region
, 103–104
Solution analysis
, 119–120
Standard deviation
, 104
Stata software
, 70
Strategies
, 18
Supply chain (SC). See also Agri-food supply chain (AFSC)
, 53–54, 189–190
visibility
, 183
Supply Chain 4.0 (SC 4.0)
, 32
applicability
, 33–35
key problems in adopting latest technology in Indian food sector for
, 36–39
methodology
, 40–42
survey outcomes
, 44–46
variables identification and validation
, 41
Support vector machine algorithm (SVM algorithm)
, 100, 105–106
Sustainability capability
, 183
Sustainable development
, 2
Sustainable Development Goals (SDGs)
, 2
Sustainable packaging
, 174–175
Technological measures
, 20–24
Technological output to patents worldwide
, 9–12
Temporal evolution of technologies
, 9–11
Texture information extraction
, 104–105
Thermal imaging
, 98–99
3D
food printing
, 38–39
printing
, 18–19, 67
Time-temperature indicators
, 172–173
Top management assistance
, 37–38
Total dissolved solids (TDS)
, 116
Total Interpretive Structural Modeling approach (TISM approach)
, 40–42, 44
Toxin identification
, 171
Trigger-dependent oxygen scavenger
, 169–170
True Negatives (TN)
, 106–107
True positive rate (TPR)
, 100, 107
True Positives (TP)
, 106–107
2 Channel 5V Relay Module
, 130
Upcycled Food Association (UFA)
, 59–60
US Patent and Trademark Office
, 5
Value chain position and AI dimensions
, 155
Vegetable detection
, 102–103
VITSAB
, 172–173
VOSviewer
, 4–5
Water pump
, 130
Water quality sensors
, 116
Web of Science (WoS)
, 4–5
Wheat supply chain
, 78
WiFi
, 117
WiFi-based Long Distance network (WiLD network)
, 117
Wireless Sensor Network (WSN)
, 118
World Economic Forum (WEF)
, 3, 32
World Intellectual Property Organization (WIPO)
, 5–6
YL-69 (Soil Moisture Sensor)
, 128
ZigBee
, 114–115, 117
- Prelims
- Research Trends and Innovation Perspectives about Sustainability and Agri-Food 4.0
- Digital Technology: Implementation Challenges and Strategies in Agri-Food Supply Chain
- Modeling the Challenges for Agri-Food Supply Chain 4.0: TISM Approach
- An Overview of Reducing Food Loss and Food Waste in Supply Chains
- Technological Advancement and Circular Economy Practices in Food Supply Chain
- Blockchain-Based Smart Wheat Supply Chain Model in Indian Context
- Drone-Based Crop Product Quality Monitoring System: An Application of Smart Agriculture
- Overview of IoT in the Agroecosystem
- Smart Irrigation System Using IoT
- Digital Transformation: Artificial Intelligence Based Product Benefits and Problems of Agritech Industry
- Advancement in Packaging Technologies for Agri-Food Sector
- Industry 4.0 Technologies in Agri-Food Supply Chains: Key Performance Indicators
- Robotics and Automation for Agri-Food 4.0: Innovation and Challenges
- Index