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Big Data Analytics and Advanced Technologies for Sustainable Agriculture

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Handbook of Smart Materials, Technologies, and Devices

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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Author information

Authors and Affiliations

  1. Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan

    Rubab Zahra Naqvi, Muhammad Farooq, Hamid Anees Siddiqui, Imran Amin, Muhammad Asif & Shahid Mansoor

  2. Department of Geography, Government College University, Faisalabad, Pakistan

    Syed Ali Asad Naqvi

Authors
  1. Rubab Zahra Naqvi
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  2. Muhammad Farooq
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  3. Syed Ali Asad Naqvi
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  4. Hamid Anees Siddiqui
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  5. Imran Amin
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  6. Muhammad Asif
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  7. Shahid Mansoor
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Editor information

Editors and Affiliations

  1. Department of Chemistry and Environmental Sciences, New Jersey Institute of Technology, University Heights, Newark, NJ, USA

    Chaudhery Mustansar Hussain

  2. University of Padova, Padova, Italy

    Paolo Di Sia

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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/10.1007/978-3-030-58675-1_82-2

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  • DOI: https://doi.org/10.1007/978-3-030-58675-1_82-2

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  • Print ISBN: 978-3-030-58675-1

  • Online ISBN: 978-3-030-58675-1

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Chapter history

  1. Latest

    Big Data Analytics and Advanced Technologies for Sustainable Agriculture
    Published:
    31 December 2021

    DOI: https://doi.org/10.1007/978-3-030-58675-1_82-2

  2. Original

    Big Data Analytics and Advanced Technologies for Sustainable Agriculture
    Published:
    19 June 2021

    DOI: https://doi.org/10.1007/978-3-030-58675-1_82-1

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