Abstract
The human population is swiftly increasing, which is estimated to grow up to more than 11 billion in the year 2100. With this increase in population, humanity is also facing challenges of water resources’ depletion, climate change, erosion, extreme weather conditions, and ultimately reduced crop productivity. These challenges faced by humanity could be addressed by maintaining sustainable agriculture systems to overcome food security and malnutrition concerns in the future. Industry 4.0 has revolutionized the production competencies of all domains of the industry, including the agriculture systems. The trend of Industry 4.0 is a transforming force that is establishing on the string of smart and advanced digital technologies harboring big data, Internet of Things, Artificial Intelligence, and automated digital practices. This revolution of Industry 4.0 in agriculture has led to the term Agriculture 4.0 for the next trend in future smart farming to raise livestock and growing crops. This chapter covers the role of digital technologies, including cloud computing-based big data, the Internet of Things, modern real-time Geospatial techniques used for precision agriculture, weather prediction, and livestock management to improve agriculture systems. The essence of emerging and advanced techniques in biotechnology and nanotechnology for crop and livestock improvement has also been emphasized. The transformation of the agriculture system through discussed digital technologies would assist in meeting the future demands of food security, demographics, climate change, scarceness of natural assets, and minimized food waste. The challenges faced by the implementation of big data analytics and advanced technologies, including ownership, government policies or initiatives, data security, financial investments, and research work, are also being highlighted in the chapter.
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Abbreviations
- AHP:
-
Analytic hierarchical process
- AI:
-
Artificial intelligence
- CEEOT:
-
Comprehensive Economic and Environmental Optimization Tool
- CPS:
-
Cyber-physical system
- CRISPR:
-
Clustered regularly interspaced short palindromic repeats
- DNDC:
-
DeNitrification-DeComposition
- EMR:
-
Electromagnetic radiation
- FMS:
-
Farm management system
- GIS:
-
Geographical information systems
- GM:
-
Genetically modified
- GNDVI:
-
Green Normalized Difference Vegetation Index
- GPS:
-
Global positioning system
- IaaS:
-
Infrastructure-as-a-service
- ICT:
-
Information and communication tools
- IoT:
-
Internet of Things
- IT:
-
Information technology
- NGS:
-
Next generation sequencing
- PaaS:
-
Platform-as-a-service
- RS:
-
Remote sensing
- SaaS:
-
Software-as-a-service
- SCADA:
-
Supervisory control and data acquisition
- UAV:
-
Unmanned aerial vehicles
- UGV:
-
Unmanned ground vehicles
- WFD:
-
Wetting front detector
- WSN:
-
Wireless sensor network
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Naqvi, R.Z. et al. (2022). Big Data Analytics and Advanced Technologies for Sustainable Agriculture. In: Hussain, C.M., Di Sia, P. (eds) Handbook of Smart Materials, Technologies, and Devices. Springer, Cham. https://doi.org/10.1007/978-3-030-84205-5_82
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DOI: https://doi.org/10.1007/978-3-030-84205-5_82
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