Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Deep Learning and Edge Computing Solution for High-Performance Computing Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Applying Blockchain in Agriculture: A Study on Blockchain Technology, Benefits, and Challenges

Authors : Sandeep Kumar M, Maheshwari V, Prabhu J, Prasanna M, R. Jothikumar

Published in: Deep Learning and Edge Computing Solutions for High Performance Computing

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Agriculture is one of the world’s most influential sectors. Agricultural productivity is beneficial to the economy, privacy, nutrition, and health of a country. In the modern era, agronomists have taken various technologies like IoT and Blockchain to get better farming crops. Blockchain technology used to address several problems from various fields like economy, health, and energy. Blockchain utilized in supply chain management structures in the agriculture sectors that provide accountability, protection, neutrality, and efficiency for all processes in a supply chain. It helps to solve many of the internet’s stability and security complications. In this chapter, we deliberate the use case of blockchain and its functionality process in agriculture. Further explores blockchain technology, application, challenges, and opportunities toward the field of agriculture.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Deep Learning and its Applications: A Real-World Perspective
next chapter Heterogenous Applications of Deep Learning Techniques in Diverse Domains: A Review
Literature
1.
Russell, S. E. (1966). A History of Agricultural Science in Great Britain, 1620-1954.
2.
J. Potts, T. Kastelle, Economics of innovation in Australian agricultural economics and policy. Econ Anal Pol 54, 96–104 (2017)CrossRef
3.
S.F. Papa, Use of Blockchain technology in agribusiness: transparency and monitoring in agricultural trade, in International Conference on Management Science and Management Innovation (MSMI 2017), (Atlantis Press, 2017)
4.
5.
Anand, A., McKibbin, M., & Pichel, F. (2016). Colored coins: Bitcoin, blockchain, and land administration. In Annual World Bank Conference on Land and Poverty.
6.
Barbieri, M., & Gassen, D. (2017). Blockchain-can this new technology really revolutionize the land registry system?. In Responsible Land Governance: Towards an Evidence Based Approach: Proceedings of the Annual World Bank Conference on Land and Poverty (pp. 1-13).
7.
Chinaka, M. (2016). Blockchain Technology--Applications in Improving Financial Inclusion in Developing Economies: Case Study for Small Scale Agriculture in Africa .
8.
Deshpande, A., Stewart, K., Lepetit, L., & Gunashekar, S. (2017). Distributed Ledger Technologies/Blockchain: Challenges, opportunities and the prospects for standards. Overview report The British Standards Institution (BSI), 1-34.
9.
Tian, F. (2017). A supply chain traceability system for food safety based on HACCP, Blockchain & Internet of things. In International conference on service systems and service management (pp. 1-6).
10.
Tian, F. (2016). An agri-food supply chain traceability system for China based on RFID & blockchain technology. In 13th international conference on service systems and service management (ICSSSM) (pp. 1-6).
11.
Y.P. Lin, J.R. Petway, J. Anthony, H. Mukhtar, S.W. Liao, C.F. Chou, Y.F. Ho, Blockchain: The evolutionary next step for ICT e-agriculture. Environments 4(3), 50 (2017)CrossRef
12.
A. Dobbins, A. Sprinkle, B. Hadley, J. Cazier, J. Wilkes, Blocks for bees: Solving bee business problems with blockchain technology. Bus. Students’ Pers. Branding, Empirical Invest 1, 11 (2018)
13.
Lin, J., Shen, Z., Zhang, A., & Chai, Y. (2018). Blockchain and IoT based food traceability for smart agriculture. In Proceedings of the 3rd International Conference on Crowd Science and Engineering (pp. 1-6).
14.
S. Mathivanan, P. Jayagopal, A big data virtualization role in agriculture: a comprehensive review. Walailak J Sci Technol 16(2), 55–70 (2019)CrossRef
15.
Ge, L., Brewster, C., Spek, J., Smeenk, A., Top, J., van Diepen, F., ... & de Wildt, M. D. R. (2017). Blockchain for agriculture and food: Findings from the pilot study (No. 2017-112). Wageningen Ecoenomic Research.
16.
H. Xiong, T. Dalhaus, P. Wang, J. Huang, Blockchain technology for agriculture: applications and rationale. Front Blockchain 3, 7 (2020)CrossRef
17.
D. Mao, F. Wang, Z. Hao, H. Li, Credit evaluation system based on Blockchain for multiple stakeholders in the food supply chain. Int J Environ Res Public Health 15(8), 1627 (2018)CrossRef
18.
M. Montecchi, K. Plangger, M. Etter, It’s real, trust me! Establishing supply chain provenance using Blockchain. Bus Horiz 62(3), 283–293 (2019)CrossRef
19.
Caro, M. P., Ali, M. S., Vecchio, M., & Giaffreda, R. (2018). Blockchain-based traceability in Agri-Food supply chain management: A practical implementation. IoT Vertical and Topical Summit on Agriculture-Tuscany (IOT Tuscany) (pp. 1-4).
20.
Metadata
Title
Applying Blockchain in Agriculture: A Study on Blockchain Technology, Benefits, and Challenges
Authors
Sandeep Kumar M
Maheshwari V
Prabhu J
Prasanna M
R. Jothikumar
Copyright Year
2021
Book
Deep Learning and Edge Computing Solutions for High Performance Computing

Print ISBN: 978-3-030-60264-2

Electronic ISBN: 978-3-030-60265-9

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-60265-9_11