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Submit a ProposalDigital Agricultural Ecosystem
 | Revolutionary Advancements in Agriculture Edited by Kuldeep Singh and Prasanna Kolar Copyright: 2024 | Status: Published ISBN: 9781394242931 | Hardcover | 404 pages Price: $225 USD  |
One Line Description
The book comprehensively explores the dynamic synergy between modern technology and agriculture, showcasing how advancements such as artificial intelligence, data analytics, and smart farming practices are reshaping the landscape to ensure food security in the era of climate change, as well as bridging the gap between cutting-edge research and practical implementation.
Audience
The diverse readership includes farmers, agronomists, agricultural researchers, policymakers, environmentalists, information technologists, and students from academic and professional fields who are eager to learn more about how digital innovation and sustainable agriculture can be used to address global issues such as climate change, food security, and smart farming.
The diverse readership includes farmers, agronomists, agricultural researchers, policymakers, environmentalists, information technologists, and students from academic and professional fields who are eager to learn more about how digital innovation and sustainable agriculture can be used to address global issues such as climate change, food security, and smart farming.
Description
Agriculture has historically been the foundation of human civilization and benefits communities all around the world. Agriculture has a creative, adaptable, and innovative history, and as the digital age draws closer, agriculture is once again poised for change. Each of the 20 chapters explores the connection between agricultural and technological advancements, and are divided into four key areas.
Part 1 covers knowledge sharing in the digital agricultural ecosystem. In the context of modern agriculture, the chapters underscore the importance of information flow. Through comprehensive reviews of literature and assessments of farmer participation on social media platforms, these chapters illustrate the value of information sharing for sustainable agriculture.
Part 2 explores the adoption and impact of digital technologies in agriculture. The use of cutting-edge digital technologies in agriculture is examined thoroughly in this section. The chapters included here outline how precision, artificial intelligence, and blockchain technology have the potential to transform methods of agriculture and improve food systems.
Part 3 addresses smart farming and sustainable agriculture. This section focuses on sustainability and offers details on eco-friendly production methods, the significance of smart farming in many nations, including India and the UK, and cost-effective fertilizer sprayer technologies.
Part 4 examines the modeling and analysis of agricultural systems. This last section explores how mathematical modeling and data analytics are used in agricultural systems, with insights on everything from the study of credit access constraints in rural regions to water resource management in irrigation systems.
Back to Top
Agriculture has historically been the foundation of human civilization and benefits communities all around the world. Agriculture has a creative, adaptable, and innovative history, and as the digital age draws closer, agriculture is once again poised for change. Each of the 20 chapters explores the connection between agricultural and technological advancements, and are divided into four key areas.
Part 1 covers knowledge sharing in the digital agricultural ecosystem. In the context of modern agriculture, the chapters underscore the importance of information flow. Through comprehensive reviews of literature and assessments of farmer participation on social media platforms, these chapters illustrate the value of information sharing for sustainable agriculture.
Part 2 explores the adoption and impact of digital technologies in agriculture. The use of cutting-edge digital technologies in agriculture is examined thoroughly in this section. The chapters included here outline how precision, artificial intelligence, and blockchain technology have the potential to transform methods of agriculture and improve food systems.
Part 3 addresses smart farming and sustainable agriculture. This section focuses on sustainability and offers details on eco-friendly production methods, the significance of smart farming in many nations, including India and the UK, and cost-effective fertilizer sprayer technologies.
Part 4 examines the modeling and analysis of agricultural systems. This last section explores how mathematical modeling and data analytics are used in agricultural systems, with insights on everything from the study of credit access constraints in rural regions to water resource management in irrigation systems.
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Author / Editor Details
Kuldeep Singh, PhD, is a professor of finance in the Faculty of Management Studies at CMS Business School, JAIN (deemed to be a university), Bangalore, India. Singh holds a doctoral degree in finance from the Indian Institute of Information Technology in India. His fields of interest include inferential statistics, mediation-moderation analysis, and structural equation modeling. He has published numerous research papers in conference journals related to sustainable agriculture, finance, corporate social responsibility, and entrepreneurship. He was honored with the ‘Best Paper Award’ in 2020 at the 6th Management Doctoral Colloquium, IIT Kharagpur.
Kuldeep Singh, PhD, is a professor of finance in the Faculty of Management Studies at CMS Business School, JAIN (deemed to be a university), Bangalore, India. Singh holds a doctoral degree in finance from the Indian Institute of Information Technology in India. His fields of interest include inferential statistics, mediation-moderation analysis, and structural equation modeling. He has published numerous research papers in conference journals related to sustainable agriculture, finance, corporate social responsibility, and entrepreneurship. He was honored with the ‘Best Paper Award’ in 2020 at the 6th Management Doctoral Colloquium, IIT Kharagpur.
Prasanna Kolar, PhD, is an assistant professor in the College of Agriculture, KL University, Vijayawada, India. He holds a PhD in agricultural economics from Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, India. His research focus includes finance, marketing, micro and macroeconomics, data analysis, amongst several other interests. He has published many research papers in international journals and plays a vital role in advancing the collective understanding and fostering the development of the agricultural economics and sustainability fields.
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Table of Contents
Preface
Part 1: Knowledge Sharing in the Digital Agricultural Ecosystem
1. Digital Agricultural Ecosystem: An Introduction
Kuldeep Singh, Prasanna Kolar and Rebecca Abraham
1.1 Introduction
1.2 Digital Agricultural Ecosystem
1.3 Definition
1.4 Entities
1.4.1 Role of Farmers in Digital Agricultural Ecosystem
1.4.2 Role of Technology Providers in Digital Agricultural Ecosystem
1.5 Role of Researchers in Digital Agricultural Ecosystem
1.5.1 Role of Policymakers in the Digital Agricultural Ecosystem
1.5.2 Role of Customers in the Digital Agricultural Ecosystem
1.6 Elements
1.6.1 Hardware
1.6.2 Software
1.6.3 Data
1.6.4 Human Capital
1.6.5 Efficiency, Sustainability, and Profitability of Agricultural Operations
Conclusion
References
2. Smart and Sustainable Agriculture: Systematic Literature Review and Bibliometric Analysis
Madhavi Shamkuwar, Vidya Kadam, Pratik Arte and Pandurang Patil
2.1 Introduction
2.2 Systematic Literature Review
2.2.1 PRISMA Protocol
2.2.2 Visual Literature Review
2.3 Bibliometric Analysis
2.3.1 Research Database
2.3.2 Search Strategy
2.3.3 Advance Search
2.4 Related Study
2.4.1 Climate-Related Literature
2.4.2 Technology-Related Literature
2.5 Conclusion
References
3. Agriculturist Engagement and Knowledge Sharing in Digital Ecosystem:
Insights from Social Media
Jitendra Yadav, Nripendra P. Rana, Pankaj Kumar Singh and Ramendra Pratap Singh
3.1 Introduction
3.2 State of Literature
3.2.1 Agriculture Digital Transformation
3.2.2 Significance of YouTube in Fostering Engagement and Knowledge Sharing
3.3 Methodology
3.3.1 Data Description
3.3.2 Algorithmic Evaluation
3.4 Findings
3.4.1 Content Analysis
3.4.2 Sentiment Analysis
3.5 Discussion
3.6 Limitations and Future Scope
3.7 Conclusions
References
Part 2: Adoption and Impact of Digital Technologies in Agriculture
4. Electronic National Agriculture Market (e-NAM) so Far…! A Gestation Period Analysis
Mohit Kumar and Kuldeep Singh
4.1 Introduction
4.2 The Importance of Agriculture Marketing
4.3 APMC Allahabad (Prayagraj) as a Case Organization
4.4 Objectives of the Study
4.5 Study Area: APMC Allahabad
4.6 Methodology
4.7 Auction and Transaction Process
4.8 Process Review
4.9 General Assessment of Causes
4.10 Discussion
4.11 Development during the COVID Period
4.12 Conclusion
References
Appendix 1
Appendix 2
5. Development of Ecologically Safe Production: Digital Trends in the Agri-Food Sector
Zamlynskyi Viktor, Diachenko Oleksii, Halytskyi Oleksandr, Levina-Kostiuk Mariia and Yurii Vitkovskyi
5.1 Introduction
5.2 Legislative Support for the Functioning of Ecologically Safe Production
5.3 Market Analysis of Environmentally Sound Goods
5.4 Strategic Directions for Ensuring the Growth of Ecologically Safe Production in the Agrі-Food Complex
5.5 Digital Optimization of Ecologically Safe Production
5.6 Conclusions
References
6. Adoption and Impact of Blockchain Technology on the Silk Industry’s Supply Chain
G.S. Vijaya, Lakshmi Sevukamoorthy and Divakar Rajamani
6.1 Introduction
6.2 Mulberry—The Fodder
6.2.1 Plantation Technique
6.3 Embryogenesis of the Silkworm
6.4 Silk Rearing—An Art by Itself
6.4.1 The Procedural Outlay
6.4.2 Diseases and Predators of Silkworms
6.4.2.1 Diseases
6.4.2.2 Predators
6.5 Blockchain Technology
6.5.1 Blockchain Categories
6.5.2 Blockchain Framework
6.5.3 Blockchain Concept
6.5.4 Blockchain Technology Features
6.6 BCT and the Supply Chain
6.7 The Proposed Model: VL-SS-23
6.8 Conclusion
References
7. Transforming Indian Agriculture: Unleashing the Potential of Digital Agriculture Using Efficiency Analysis
Neetu Mishra, Anil Vashisht and Sandeep Raghuwanshi
7.1 Introduction—The Role of Agriculture as the Foundation of All Industries
7.2 Analysis of the Agriculture Sector in India
7.2.1 Brief Background
7.2.2 Preserving Biodiversity and Agricultural Practices
7.2.3 Traditional Agricultural Practices and Challenges
7.2.4 Impact of Globalization on Indian Agriculture
7.2.5 Data Envelopment Analysis (DEA)
7.2.6 Implementation of ICT (Information and Communication Technology) in Rural Tribal Farming Communities
7.2.7 Data Management
7.2.7.1 Variable Rate Treatment (VRT)
7.2.7.2 Geographic Information System (GIS)
7.2.8 Data Utilization
7.2.8.1 Internet of Things (IoT)
7.2.8.2 Robotics
7.2.8.3 Global Positioning System (GPS) and Geographic Information System (GIS)
7.2.8.4 Drones
7.2.8.5 Radio Frequency Identification (RFID)
7.2.9 Data Acquisition
7.2.9.1 Remote Sensing
7.2.9.2 Close-Range Sensing
7.2.9.3 Chemical-Specific Sensors
7.2.9.4 Global Positioning System and Differential Global Positioning (GPS-DGPS)
7.2.10 Analysis of Imports and Exports
7.2.10.1 Increasing Trend
7.2.10.2 Import–Export Gap
7.2.10.3 Trade Balance
7.2.10.4 Steady Export Growth
7.2.10.5 Potential for Export Expansion
7.3 Methodology
7.3.1 Production
7.3.2 Area
7.3.3 Poverty Levels
7.3.4 Government Expenditure
7.3.5 Regional Disparities
7.3.6 Data for 2018–2019 of the Top 17 States Based on Agricultural Land
7.4 Discussion
7.4.1 Analysis of DEA Results
7.5 Implications
7.5.1 Managerial Implications of the Study
7.5.1.1 Performance Benchmarking
7.5.1.2 Resource Allocation
7.5.1.3 Best Practice Sharing
7.5.1.4 Policy Formulation
7.5.1.5 Poverty Alleviation
7.5.1.6 Government Expenditure Analysis
7.5.2 Theoretical Implications
7.5.2.1 Efficiency Rankings
7.5.2.2 Resource Utilization
7.5.2.3 Input and Output Orientations
7.5.2.4 Policy and Decision-Making
7.5.2.5 Poverty Alleviation and Sustainable Agriculture
7.6 Limitations and Future Directions
7.7 Conclusion
References
8. Digital Agriculture: Transforming Farming Practices and Food Systems for a Sustainable Future
D. Pushpa Gowri and Anitha Ramachander
8.1 Introduction
8.2 Need for Digital Agriculture and Food Security
8.3 Role of Digital Agriculture in Economic Transformation
8.4 Digital Value Chain and Food Systems
8.5 Innovation in Agriculture
8.5.1 Innovative Techniques in Agriculture
8.5.2 Transition to Agriculture 5.0
8.6 Benefits and Limitations of Digital Agriculture
8.6.1 Benefits
8.6.2 Limitations
8.7 Digital Agriculture in India
8.7.1 Measures Taken by the Government of India to Improve Digital Agriculture
8.8 Future of Digital Agriculture
Conclusion
References
9. Exploring the Impact of Artificial Intelligence on Agriculture - A Study on Farmers’ Level of Awareness
Shrinivas Patil, Premalatha K. P. and Iqbal Thonse Hawaldar
9.1 Introduction
9.2 Review of Literature
9.3 Research Design
9.4 Analysis
9.4.1 Descriptive Statistics—Farmers’ Demographic Profile
9.4.2 Awareness of Artificial Technology
9.4.3 Inferential Analysis
9.5 Discussion
9.6 Implications
9.7 Limitations and Scope for Future Research
9.8 Conclusion
References
10. Precision Technologies and Digital Solutions: Catalyzing Agricultural Transformation in Soil Health Management
Anandkumar Naorem, Abhishek Patel, Sujan Adak, Puja Singh and Shiva Kumar Udayana
10.1 Introduction
10.2 Importance of Soil Health Management
10.3 Soil Health Monitoring and Assessment
10.3.1 Soil Sensors and Internet of Things (IoT) Devices
10.3.2 Remote Sensing and Imaging Techniques
10.3.3 Data Analytics and Modeling for Soil Health Assessment
10.4 Precision Irrigation Management
10.4.1 Components of Precision Irrigation System
10.4.2 Precision and Automation in Irrigation: Sensors and IoT
10.5 AI-Based Models and Irrigation Scheduling
10.6 Conclusions
References
Part 3: Smart Farming and Sustainable Agriculture
11. Blockchain Technology—Adoption, Opportunities, and Challenges for a Sustainable Agricultural Ecosystem
Sweta Kumari and Vimal Kumar Agarwal
11.1 Introduction
11.1.1 What is Blockchain?
11.1.2 Recent Developments and Investments in Indian Agriculture and Food Industry
11.2 Blockchain in the Agriculture Ecosystem
11.2.1 Cases of Blockchain Use in Agriculture
11.2.2 Management of Supply Chains
11.2.3 Smart Contracts and Agriculture
11.2.4 Agricultural Finance
11.2.5 Controlling the Weather Crisis
11.2.6 Agricultural Insurance
11.2.7 Mitigation of Food Fraud
11.2.8 Maintaining the Quality of Raw Materials
11.2.9 Decentralized Smaller Organizations
11.2.10 The Quality Controls
11.2.11 Sustainable Water Management
11.3 Cases of Blockchain in Agriculture
11.4 Challenges and Future Implications
References
12. Fostering Agriculture Ecosystem for Sustainability
Batani Raghavendra Rao, Anusha R. Batni and Preeti Shrivastava
12.1 Introduction
12.2 Agriculture Ecosystem and Agriculture Value Chain
12.2.1 Agricultural Ecosystem
12.2.2 Agriculture Value Chain
12.3 Growth Drivers for Sustainable Agriculture
12.3.1 Growth Drivers
12.4 Role of the Government and Policy Interventions
12.5 Technology Initiatives of Corporates and Start-Ups
12.5.1 Role of Incumbent Corporates
12.5.2 Role of Start-Ups
12.6 Agritech Investment
12.7 Global Outlook
12.8 Conclusion
References
13. Design of Smart Digital Crop Harvester Monitoring Cluster
Aditi Oak, Ishwari Patil, Aarya Phansalkar, Ashwini M. Deshpande and Shounak Sharangpani
13.1 Introduction
13.2 Literature Survey
13.3 Methodology
13.3.1 Working
13.3.2 Design of Fuel Level Measurement Circuit
13.3.3 Design of the Temperature Measurement Circuit
13.3.4 Design of the Battery-Level Measurement Circuit
13.3.5 Design of the Oil Pressure Measurement Circuit
13.3.6 Design of the RPM Measurement Circuit
13.3.7 Design for the Threshing RPM Measurement Circuit
13.3.8 Design of the Power Supply
13.3.9 Design of Reverse Polarity Circuit
13.3.10 Microcontrollers
13.3.11 ESP32
13.3.12 API—Application Programming Interface
13.3.13 TouchGFX Designer
13.3.14 STM32CubeMX and STM32CubeIDE
13.4 Results and Discussion
13.4.1 Temperature Sensing Results
13.4.2 Battery Voltage Measurement Results
13.4.3 Fuel Level Sensing Results
13.4.4 Pressure Level Results
13.4.5 Engine Running Hours Sensing Results
13.4.6 RPM and Indicator Results
13.5 Conclusion
References
14. Exploring the Prospects and Challenges of Digital Agriculture for Food Security—A Case Study of the “Hands Free Hectare” Digital Farm in the UK
Arnab Chatterjee
14.1 Introduction
14.1.1 The Need for Smart Farms
14.1.2 The Case of the Hands-Free Farm in the UK
14.1.3 The Challenges
14.1.4 The Key People
14.1.5 Appraisal of the Hands-Free Farm
14.2 Conclusion
References
15. Smart Farming—A Case Study from India
Vedantam Seetha Ram, Kuldeep Singh and Bivek Sreshta
15.1 Introduction
15.1.1 Types of Farming
15.1.1.1 Subsistence Farming
15.1.1.2 Dryland Farming
15.1.1.3 Arable Land Farming
15.1.1.4 Aquaculture
15.1.1.5 Dairy Farming
15.2 Technology in Farming
15.2.1 Laser Land Leveling Technology
15.2.2 Watershed Technology
15.2.3 Internet of Things
15.2.4 Machine Navigation and Robotics
15.2.5 Drone Technology
15.2.6 Data Analytics
15.2.7 Government Schemes in Smart Farming
15.3 Discussion
15.3.1 India’s Agriculture Journey from 2001–2002 to 2020–2021
15.4 Conclusion
References
16. Frugal Innovation in Developing a Fertilizer Sprayer—A Case of an Ingenious Design in Maharashtra
Madhavi R., Urmila Itam, Harold Andrew Patrick, Ravindran Balakrishnan, Chaya Bagrecha, Shalini R. and V. Y. John
16.1 Introduction
16.2 Fertilizers and Their Usage
16.3 Role of Technology in Agriculture
16.4 Research Gap and Objective
16.5 Research Design
16.6 Jugadu Kamlesh—The Inventor-Farmer Turned Agripreneur and His Fertilizer Sprayer
16.7 The Design Journey
16.8 The Shark Tank: India Experience
16.9 Design Thinking
16.10 The Path Ahead
16.11 Conclusion
Conflict of Interest
Acknowledgments
References
17. For Sustainable Farming in India: A Data Analytics Perspective
Shanta Pragyan Dash and K. G. Priyashantha
17.1 Introduction
17.1.1 Current Status of the Farming Industry in India
17.1.2 Data Analytics and Its Applied Methods in Current Farming Practices
17.1.3 Capacity Building through Data Analytics in the Farming Industry
17.1.4 Future Scope of India with Data Analytics in the Farming Industry
17.1.5 Urge Toward Adapting Data Analytics for Rural Areas in India
17.1.6 Mapping the Future of Data Analytics in Farming and Linking to SDGs
17.2 Conclusion
References
Part 4: Modeling and Analysis of Agricultural Systems
18. Modeling Barriers to Access Credit from Institutional Sources in Rural Areas Using the ISM Approach
Priyanka Yadav, Bhartrihari Pandiya and Alok Kumar Sharma
18.1 Introduction
18.2 Literature Review
18.3 Data and Research Methodology
18.3.1 Data
18.3.2 Research Methodology
18.3.2.1 Building the Structural Self-Interaction Matrix (SSIM)
18.3.2.2 Reachability Matrix
18.3.2.3 Level Partitioning
18.3.2.4 Development of the ISM Model
18.3.2.5 MICMAC Analysis
18.4 Results and Discussion
18.5 Implications of the Research
18.6 Conclusions
References
19. Modeling the Water Consumption Process with the Linear Model and a Local Interpolation Cubic Spline
Varlamova Lyudmila P., Seytov Aybek J., Bahromov Sayfiddin A., Berdiyorov Shokhjakhon Sh. and Mirzaolimov Akhmadjon K.
19.1 Background
19.1.1 Application of Correlation and Regression Methods to Analyze Patterns of Changes in Water Consumption and Water Use in the Republic of Uzbekistan
19.2 Establishment of the Patterns of Formation of Volumes of Water Resources in Areas of Their Usage
19.3 Forecasting Water Use Based on Mathematical Models of Water Management of Distributed Irrigation Systems
19.3.1 Based on the Given Information, See the Model of Water Distribution Based on the Least Square Method
19.3.2 Building a Model Using a Local Cubic Spline
Conclusion
References
20. The Role of Electric Vehicles in the Agriculture Industry Using IoT: Turning Electricity into Food
Parul Asati, Sandeep Raghuwanshi, Arif Hasan and Aadil Zeffer
20.1 Introduction
20.1.1 Electric Vehicles in Agriculture
20.1.2 Smart Agriculture and Smart Farming Using IoT Technology
20.1.3 Off-Road Vehicle Technology
20.2 Department of Energy
20.2.1 Unmanned Ground Vehicles (UGVs) for Agriculture
20.2.2 India a Growing Market for Tractors
20.2.3 Electric Tractors
20.2.4 Green Technology for Agricultural Vehicles
20.2.5 Agriculture Tractors Electrification
20.2.6 Multipurpose Electric Vehicle for Farmers
20.2.7 Organic Farming with Electric Vehicles
20.3 Electric Vehicles and Robots in the Agricultural Sector
20.3.1 Internet of Things (IoT) for a Sustainable Future
20.3.2 IoT Technology for Smart Agriculture and Farming
20.3.3 Electric Robotics and Machines in Agriculture
20.4 Blockchain-Based IoT Systems
20.4.1 Turning Electricity into Food
Conclusion
References
Index
Back to Top
Preface
Part 1: Knowledge Sharing in the Digital Agricultural Ecosystem
1. Digital Agricultural Ecosystem: An Introduction
Kuldeep Singh, Prasanna Kolar and Rebecca Abraham
1.1 Introduction
1.2 Digital Agricultural Ecosystem
1.3 Definition
1.4 Entities
1.4.1 Role of Farmers in Digital Agricultural Ecosystem
1.4.2 Role of Technology Providers in Digital Agricultural Ecosystem
1.5 Role of Researchers in Digital Agricultural Ecosystem
1.5.1 Role of Policymakers in the Digital Agricultural Ecosystem
1.5.2 Role of Customers in the Digital Agricultural Ecosystem
1.6 Elements
1.6.1 Hardware
1.6.2 Software
1.6.3 Data
1.6.4 Human Capital
1.6.5 Efficiency, Sustainability, and Profitability of Agricultural Operations
Conclusion
References
2. Smart and Sustainable Agriculture: Systematic Literature Review and Bibliometric Analysis
Madhavi Shamkuwar, Vidya Kadam, Pratik Arte and Pandurang Patil
2.1 Introduction
2.2 Systematic Literature Review
2.2.1 PRISMA Protocol
2.2.2 Visual Literature Review
2.3 Bibliometric Analysis
2.3.1 Research Database
2.3.2 Search Strategy
2.3.3 Advance Search
2.4 Related Study
2.4.1 Climate-Related Literature
2.4.2 Technology-Related Literature
2.5 Conclusion
References
3. Agriculturist Engagement and Knowledge Sharing in Digital Ecosystem:
Insights from Social Media
Jitendra Yadav, Nripendra P. Rana, Pankaj Kumar Singh and Ramendra Pratap Singh
3.1 Introduction
3.2 State of Literature
3.2.1 Agriculture Digital Transformation
3.2.2 Significance of YouTube in Fostering Engagement and Knowledge Sharing
3.3 Methodology
3.3.1 Data Description
3.3.2 Algorithmic Evaluation
3.4 Findings
3.4.1 Content Analysis
3.4.2 Sentiment Analysis
3.5 Discussion
3.6 Limitations and Future Scope
3.7 Conclusions
References
Part 2: Adoption and Impact of Digital Technologies in Agriculture
4. Electronic National Agriculture Market (e-NAM) so Far…! A Gestation Period Analysis
Mohit Kumar and Kuldeep Singh
4.1 Introduction
4.2 The Importance of Agriculture Marketing
4.3 APMC Allahabad (Prayagraj) as a Case Organization
4.4 Objectives of the Study
4.5 Study Area: APMC Allahabad
4.6 Methodology
4.7 Auction and Transaction Process
4.8 Process Review
4.9 General Assessment of Causes
4.10 Discussion
4.11 Development during the COVID Period
4.12 Conclusion
References
Appendix 1
Appendix 2
5. Development of Ecologically Safe Production: Digital Trends in the Agri-Food Sector
Zamlynskyi Viktor, Diachenko Oleksii, Halytskyi Oleksandr, Levina-Kostiuk Mariia and Yurii Vitkovskyi
5.1 Introduction
5.2 Legislative Support for the Functioning of Ecologically Safe Production
5.3 Market Analysis of Environmentally Sound Goods
5.4 Strategic Directions for Ensuring the Growth of Ecologically Safe Production in the Agrі-Food Complex
5.5 Digital Optimization of Ecologically Safe Production
5.6 Conclusions
References
6. Adoption and Impact of Blockchain Technology on the Silk Industry’s Supply Chain
G.S. Vijaya, Lakshmi Sevukamoorthy and Divakar Rajamani
6.1 Introduction
6.2 Mulberry—The Fodder
6.2.1 Plantation Technique
6.3 Embryogenesis of the Silkworm
6.4 Silk Rearing—An Art by Itself
6.4.1 The Procedural Outlay
6.4.2 Diseases and Predators of Silkworms
6.4.2.1 Diseases
6.4.2.2 Predators
6.5 Blockchain Technology
6.5.1 Blockchain Categories
6.5.2 Blockchain Framework
6.5.3 Blockchain Concept
6.5.4 Blockchain Technology Features
6.6 BCT and the Supply Chain
6.7 The Proposed Model: VL-SS-23
6.8 Conclusion
References
7. Transforming Indian Agriculture: Unleashing the Potential of Digital Agriculture Using Efficiency Analysis
Neetu Mishra, Anil Vashisht and Sandeep Raghuwanshi
7.1 Introduction—The Role of Agriculture as the Foundation of All Industries
7.2 Analysis of the Agriculture Sector in India
7.2.1 Brief Background
7.2.2 Preserving Biodiversity and Agricultural Practices
7.2.3 Traditional Agricultural Practices and Challenges
7.2.4 Impact of Globalization on Indian Agriculture
7.2.5 Data Envelopment Analysis (DEA)
7.2.6 Implementation of ICT (Information and Communication Technology) in Rural Tribal Farming Communities
7.2.7 Data Management
7.2.7.1 Variable Rate Treatment (VRT)
7.2.7.2 Geographic Information System (GIS)
7.2.8 Data Utilization
7.2.8.1 Internet of Things (IoT)
7.2.8.2 Robotics
7.2.8.3 Global Positioning System (GPS) and Geographic Information System (GIS)
7.2.8.4 Drones
7.2.8.5 Radio Frequency Identification (RFID)
7.2.9 Data Acquisition
7.2.9.1 Remote Sensing
7.2.9.2 Close-Range Sensing
7.2.9.3 Chemical-Specific Sensors
7.2.9.4 Global Positioning System and Differential Global Positioning (GPS-DGPS)
7.2.10 Analysis of Imports and Exports
7.2.10.1 Increasing Trend
7.2.10.2 Import–Export Gap
7.2.10.3 Trade Balance
7.2.10.4 Steady Export Growth
7.2.10.5 Potential for Export Expansion
7.3 Methodology
7.3.1 Production
7.3.2 Area
7.3.3 Poverty Levels
7.3.4 Government Expenditure
7.3.5 Regional Disparities
7.3.6 Data for 2018–2019 of the Top 17 States Based on Agricultural Land
7.4 Discussion
7.4.1 Analysis of DEA Results
7.5 Implications
7.5.1 Managerial Implications of the Study
7.5.1.1 Performance Benchmarking
7.5.1.2 Resource Allocation
7.5.1.3 Best Practice Sharing
7.5.1.4 Policy Formulation
7.5.1.5 Poverty Alleviation
7.5.1.6 Government Expenditure Analysis
7.5.2 Theoretical Implications
7.5.2.1 Efficiency Rankings
7.5.2.2 Resource Utilization
7.5.2.3 Input and Output Orientations
7.5.2.4 Policy and Decision-Making
7.5.2.5 Poverty Alleviation and Sustainable Agriculture
7.6 Limitations and Future Directions
7.7 Conclusion
References
8. Digital Agriculture: Transforming Farming Practices and Food Systems for a Sustainable Future
D. Pushpa Gowri and Anitha Ramachander
8.1 Introduction
8.2 Need for Digital Agriculture and Food Security
8.3 Role of Digital Agriculture in Economic Transformation
8.4 Digital Value Chain and Food Systems
8.5 Innovation in Agriculture
8.5.1 Innovative Techniques in Agriculture
8.5.2 Transition to Agriculture 5.0
8.6 Benefits and Limitations of Digital Agriculture
8.6.1 Benefits
8.6.2 Limitations
8.7 Digital Agriculture in India
8.7.1 Measures Taken by the Government of India to Improve Digital Agriculture
8.8 Future of Digital Agriculture
Conclusion
References
9. Exploring the Impact of Artificial Intelligence on Agriculture - A Study on Farmers’ Level of Awareness
Shrinivas Patil, Premalatha K. P. and Iqbal Thonse Hawaldar
9.1 Introduction
9.2 Review of Literature
9.3 Research Design
9.4 Analysis
9.4.1 Descriptive Statistics—Farmers’ Demographic Profile
9.4.2 Awareness of Artificial Technology
9.4.3 Inferential Analysis
9.5 Discussion
9.6 Implications
9.7 Limitations and Scope for Future Research
9.8 Conclusion
References
10. Precision Technologies and Digital Solutions: Catalyzing Agricultural Transformation in Soil Health Management
Anandkumar Naorem, Abhishek Patel, Sujan Adak, Puja Singh and Shiva Kumar Udayana
10.1 Introduction
10.2 Importance of Soil Health Management
10.3 Soil Health Monitoring and Assessment
10.3.1 Soil Sensors and Internet of Things (IoT) Devices
10.3.2 Remote Sensing and Imaging Techniques
10.3.3 Data Analytics and Modeling for Soil Health Assessment
10.4 Precision Irrigation Management
10.4.1 Components of Precision Irrigation System
10.4.2 Precision and Automation in Irrigation: Sensors and IoT
10.5 AI-Based Models and Irrigation Scheduling
10.6 Conclusions
References
Part 3: Smart Farming and Sustainable Agriculture
11. Blockchain Technology—Adoption, Opportunities, and Challenges for a Sustainable Agricultural Ecosystem
Sweta Kumari and Vimal Kumar Agarwal
11.1 Introduction
11.1.1 What is Blockchain?
11.1.2 Recent Developments and Investments in Indian Agriculture and Food Industry
11.2 Blockchain in the Agriculture Ecosystem
11.2.1 Cases of Blockchain Use in Agriculture
11.2.2 Management of Supply Chains
11.2.3 Smart Contracts and Agriculture
11.2.4 Agricultural Finance
11.2.5 Controlling the Weather Crisis
11.2.6 Agricultural Insurance
11.2.7 Mitigation of Food Fraud
11.2.8 Maintaining the Quality of Raw Materials
11.2.9 Decentralized Smaller Organizations
11.2.10 The Quality Controls
11.2.11 Sustainable Water Management
11.3 Cases of Blockchain in Agriculture
11.4 Challenges and Future Implications
References
12. Fostering Agriculture Ecosystem for Sustainability
Batani Raghavendra Rao, Anusha R. Batni and Preeti Shrivastava
12.1 Introduction
12.2 Agriculture Ecosystem and Agriculture Value Chain
12.2.1 Agricultural Ecosystem
12.2.2 Agriculture Value Chain
12.3 Growth Drivers for Sustainable Agriculture
12.3.1 Growth Drivers
12.4 Role of the Government and Policy Interventions
12.5 Technology Initiatives of Corporates and Start-Ups
12.5.1 Role of Incumbent Corporates
12.5.2 Role of Start-Ups
12.6 Agritech Investment
12.7 Global Outlook
12.8 Conclusion
References
13. Design of Smart Digital Crop Harvester Monitoring Cluster
Aditi Oak, Ishwari Patil, Aarya Phansalkar, Ashwini M. Deshpande and Shounak Sharangpani
13.1 Introduction
13.2 Literature Survey
13.3 Methodology
13.3.1 Working
13.3.2 Design of Fuel Level Measurement Circuit
13.3.3 Design of the Temperature Measurement Circuit
13.3.4 Design of the Battery-Level Measurement Circuit
13.3.5 Design of the Oil Pressure Measurement Circuit
13.3.6 Design of the RPM Measurement Circuit
13.3.7 Design for the Threshing RPM Measurement Circuit
13.3.8 Design of the Power Supply
13.3.9 Design of Reverse Polarity Circuit
13.3.10 Microcontrollers
13.3.11 ESP32
13.3.12 API—Application Programming Interface
13.3.13 TouchGFX Designer
13.3.14 STM32CubeMX and STM32CubeIDE
13.4 Results and Discussion
13.4.1 Temperature Sensing Results
13.4.2 Battery Voltage Measurement Results
13.4.3 Fuel Level Sensing Results
13.4.4 Pressure Level Results
13.4.5 Engine Running Hours Sensing Results
13.4.6 RPM and Indicator Results
13.5 Conclusion
References
14. Exploring the Prospects and Challenges of Digital Agriculture for Food Security—A Case Study of the “Hands Free Hectare” Digital Farm in the UK
Arnab Chatterjee
14.1 Introduction
14.1.1 The Need for Smart Farms
14.1.2 The Case of the Hands-Free Farm in the UK
14.1.3 The Challenges
14.1.4 The Key People
14.1.5 Appraisal of the Hands-Free Farm
14.2 Conclusion
References
15. Smart Farming—A Case Study from India
Vedantam Seetha Ram, Kuldeep Singh and Bivek Sreshta
15.1 Introduction
15.1.1 Types of Farming
15.1.1.1 Subsistence Farming
15.1.1.2 Dryland Farming
15.1.1.3 Arable Land Farming
15.1.1.4 Aquaculture
15.1.1.5 Dairy Farming
15.2 Technology in Farming
15.2.1 Laser Land Leveling Technology
15.2.2 Watershed Technology
15.2.3 Internet of Things
15.2.4 Machine Navigation and Robotics
15.2.5 Drone Technology
15.2.6 Data Analytics
15.2.7 Government Schemes in Smart Farming
15.3 Discussion
15.3.1 India’s Agriculture Journey from 2001–2002 to 2020–2021
15.4 Conclusion
References
16. Frugal Innovation in Developing a Fertilizer Sprayer—A Case of an Ingenious Design in Maharashtra
Madhavi R., Urmila Itam, Harold Andrew Patrick, Ravindran Balakrishnan, Chaya Bagrecha, Shalini R. and V. Y. John
16.1 Introduction
16.2 Fertilizers and Their Usage
16.3 Role of Technology in Agriculture
16.4 Research Gap and Objective
16.5 Research Design
16.6 Jugadu Kamlesh—The Inventor-Farmer Turned Agripreneur and His Fertilizer Sprayer
16.7 The Design Journey
16.8 The Shark Tank: India Experience
16.9 Design Thinking
16.10 The Path Ahead
16.11 Conclusion
Conflict of Interest
Acknowledgments
References
17. For Sustainable Farming in India: A Data Analytics Perspective
Shanta Pragyan Dash and K. G. Priyashantha
17.1 Introduction
17.1.1 Current Status of the Farming Industry in India
17.1.2 Data Analytics and Its Applied Methods in Current Farming Practices
17.1.3 Capacity Building through Data Analytics in the Farming Industry
17.1.4 Future Scope of India with Data Analytics in the Farming Industry
17.1.5 Urge Toward Adapting Data Analytics for Rural Areas in India
17.1.6 Mapping the Future of Data Analytics in Farming and Linking to SDGs
17.2 Conclusion
References
Part 4: Modeling and Analysis of Agricultural Systems
18. Modeling Barriers to Access Credit from Institutional Sources in Rural Areas Using the ISM Approach
Priyanka Yadav, Bhartrihari Pandiya and Alok Kumar Sharma
18.1 Introduction
18.2 Literature Review
18.3 Data and Research Methodology
18.3.1 Data
18.3.2 Research Methodology
18.3.2.1 Building the Structural Self-Interaction Matrix (SSIM)
18.3.2.2 Reachability Matrix
18.3.2.3 Level Partitioning
18.3.2.4 Development of the ISM Model
18.3.2.5 MICMAC Analysis
18.4 Results and Discussion
18.5 Implications of the Research
18.6 Conclusions
References
19. Modeling the Water Consumption Process with the Linear Model and a Local Interpolation Cubic Spline
Varlamova Lyudmila P., Seytov Aybek J., Bahromov Sayfiddin A., Berdiyorov Shokhjakhon Sh. and Mirzaolimov Akhmadjon K.
19.1 Background
19.1.1 Application of Correlation and Regression Methods to Analyze Patterns of Changes in Water Consumption and Water Use in the Republic of Uzbekistan
19.2 Establishment of the Patterns of Formation of Volumes of Water Resources in Areas of Their Usage
19.3 Forecasting Water Use Based on Mathematical Models of Water Management of Distributed Irrigation Systems
19.3.1 Based on the Given Information, See the Model of Water Distribution Based on the Least Square Method
19.3.2 Building a Model Using a Local Cubic Spline
Conclusion
References
20. The Role of Electric Vehicles in the Agriculture Industry Using IoT: Turning Electricity into Food
Parul Asati, Sandeep Raghuwanshi, Arif Hasan and Aadil Zeffer
20.1 Introduction
20.1.1 Electric Vehicles in Agriculture
20.1.2 Smart Agriculture and Smart Farming Using IoT Technology
20.1.3 Off-Road Vehicle Technology
20.2 Department of Energy
20.2.1 Unmanned Ground Vehicles (UGVs) for Agriculture
20.2.2 India a Growing Market for Tractors
20.2.3 Electric Tractors
20.2.4 Green Technology for Agricultural Vehicles
20.2.5 Agriculture Tractors Electrification
20.2.6 Multipurpose Electric Vehicle for Farmers
20.2.7 Organic Farming with Electric Vehicles
20.3 Electric Vehicles and Robots in the Agricultural Sector
20.3.1 Internet of Things (IoT) for a Sustainable Future
20.3.2 IoT Technology for Smart Agriculture and Farming
20.3.3 Electric Robotics and Machines in Agriculture
20.4 Blockchain-Based IoT Systems
20.4.1 Turning Electricity into Food
Conclusion
References
Index
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