Smart Technologies in Agriculture

  • Reference work entry
  • First Online:
Encyclopedia of Digital Agricultural Technologies
  • 33 Accesses

Definition

Smart technologies, also known as Intelligent Systems, correspond to technologies used for sensing, decision-making, and actuation in systems that can work autonomously and act and modify the world. Smart technologies in agriculture use actuators to modify the environment based on data measured through various sensors with the goal of maximizing the success of agriculture tasks. Example technologies include Sensors, Imaging Techniques, GPS, and map** tools, Robot and Autonomous systems, Artificial intelligence and Machine learning technologies, Internet of Things (IoT), Wireless Sensor Networks (WSN), Computer Vision, and Satellite Images, all of them seeking to improve productivity and sustainability of agricultural task.

Introduction

Smart technologies in agriculture are intelligent systems and technologies that allow solving complex agriculture problems. These computer, electronic, and machine-based systems are based on technologies that use artificial intelligence,...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

  • Araujo SO, Peres RS, Barata J, Lidon F, Ramalho JC (2021) Characterising the agriculture 4.0 landscape – emerging trends, challenges and opportunities. Agronomy 11(4):667

    Article  Google Scholar 

  • Dhanaraju M, Chenniappan P, Ramalingam K, Pazhanivelan S, Kaliaperumal R (2022) Smart farming: Internet of Things (IoT)-based sustainable agriculture. Collection FAO: Agriculture 12(10):1745

    Google Scholar 

  • Gil G, Casagrande DE, Cortes LP, Verschae R (2023) Why the low adoption of robotics in the farms? Challenges for the establishment of commercial agricultural robots. Smart Agri Tech 3(100069):100069

    Article  Google Scholar 

  • Harfouche AL, Nakhle F, Harfouche AH, Sardella OG, Dart E, Jacobson D (2023) A primer on artificial intelligence in plant digital phenomics: embarking on the data to insights journey. Trends Plant Sci 28(2):154–184

    Article  CAS  PubMed  Google Scholar 

  • Liu Y, Ma X, Shu L, Hancke GP, Abu-Mahfouz AM (2021) From industry 4.0 to agriculture 4.0: current status, enabling technologies, and research challenges. IEEE Trans Industr Inform 17(6):4322–4334

    Article  Google Scholar 

  • Molina M (2020) What is an intelligent system? ar**v preprint ar**v:2009.09083

    Google Scholar 

  • Neethirajan S (2017) Recent advances in wearable sensors for animal health management. Sens Bio-Sens Res 12:15–29

    Article  Google Scholar 

  • Walter A, Finger R, Huber R, Buchmann N (2017) Opinion: smart farming is key to develo** sustainable agriculture. Proc Natl Acad Sci U S A 114(24):6148–6150

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Zhang N, Wang M, Wang N (2002) Precision agriculture – a worldwide overview. Comput Electron Agric 36(2):113–132

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rodrigo Verschae .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2023 Springer Nature Switzerland AG

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Verschae, R. (2023). Smart Technologies in Agriculture. In: Zhang, Q. (eds) Encyclopedia of Digital Agricultural Technologies. Springer, Cham. https://doi.org/10.1007/978-3-031-24861-0_234

Download citation

Publish with us

Policies and ethics

Navigation