A Comprehensive Survey on AgriTech to Pioneer the HCI-Based Future of Farming

Ashutosh Mishra; Shiho Kim

doi:10.1007/978-3-031-53827-8_28

A Comprehensive Survey on AgriTech to Pioneer the HCI-Based Future of Farming

Ashutosh Mishra, Shiho Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The burgeoning global population constricted arable land availability, exacerbated farming input expenditures, and a dwindling labor workforce underscore the imperative for pioneering advancements within the realm of agriculture and cultivation. AgriTech represents the synergistic integration of cutting-edge technologies and human-computer interaction (HCI) into traditional agricultural methodologies, poised to usher in a transformative era in farming practices. It heralds a promising frontier for the implementation of intelligent farming techniques. Within this scholarly exposition, we delve into the profound challenges that beset the domain of intelligent agriculture and advanced agricultural technologies. We proffer an in-depth exploration of historical developments, leveraging innovative applications of artificial intelligence (AI), automation, robotics, and the Internet of Things (IoT) to propel the paradigm of intelligent farming forward. Furthermore, we elucidate the impediments intrinsic to these technologies and proffer potential remedies encapsulated within the purview of AgriTech. This research not only serves as a comprehensive elucidation of the multifaceted intricacies within the domain of AgriTech but also serves as a launching pad, fostering fertile grounds for the cultivation of future AgriTech innovations.

Original language	English
Title of host publication	Intelligent Human Computer Interaction - 15th International Conference, IHCI 2023, Revised Selected Papers
Editors	Bong Jun Choi, Dhananjay Singh, Uma Shanker Tiwary, Wan-Young Chung
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	310-325
Number of pages	16
ISBN (Print)	9783031538261
DOIs	https://doi.org/10.1007/978-3-031-53827-8_28
Publication status	Published - 2024
Event	15th International Conference on Intelligent Human Computer Interaction, IHCI 2023 - Daegu, Korea, Republic of Duration: 2023 Nov 8 → 2023 Nov 10

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14531 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Intelligent Human Computer Interaction, IHCI 2023
Country/Territory	Korea, Republic of
City	Daegu
Period	23/11/8 → 23/11/10

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-53827-8_28

Cite this

Mishra, A., & Kim, S. (2024). A Comprehensive Survey on AgriTech to Pioneer the HCI-Based Future of Farming. In B. J. Choi, D. Singh, U. S. Tiwary, & W.-Y. Chung (Eds.), Intelligent Human Computer Interaction - 15th International Conference, IHCI 2023, Revised Selected Papers (pp. 310-325). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14531 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-53827-8_28

Mishra, Ashutosh ; Kim, Shiho. / A Comprehensive Survey on AgriTech to Pioneer the HCI-Based Future of Farming. Intelligent Human Computer Interaction - 15th International Conference, IHCI 2023, Revised Selected Papers. editor / Bong Jun Choi ; Dhananjay Singh ; Uma Shanker Tiwary ; Wan-Young Chung. Springer Science and Business Media Deutschland GmbH, 2024. pp. 310-325 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{236f17b3b223483dab8059ddb45be12f,

title = "A Comprehensive Survey on AgriTech to Pioneer the HCI-Based Future of Farming",

abstract = "The burgeoning global population constricted arable land availability, exacerbated farming input expenditures, and a dwindling labor workforce underscore the imperative for pioneering advancements within the realm of agriculture and cultivation. AgriTech represents the synergistic integration of cutting-edge technologies and human-computer interaction (HCI) into traditional agricultural methodologies, poised to usher in a transformative era in farming practices. It heralds a promising frontier for the implementation of intelligent farming techniques. Within this scholarly exposition, we delve into the profound challenges that beset the domain of intelligent agriculture and advanced agricultural technologies. We proffer an in-depth exploration of historical developments, leveraging innovative applications of artificial intelligence (AI), automation, robotics, and the Internet of Things (IoT) to propel the paradigm of intelligent farming forward. Furthermore, we elucidate the impediments intrinsic to these technologies and proffer potential remedies encapsulated within the purview of AgriTech. This research not only serves as a comprehensive elucidation of the multifaceted intricacies within the domain of AgriTech but also serves as a launching pad, fostering fertile grounds for the cultivation of future AgriTech innovations.",

keywords = "AgriTech, Autonomous Vehicles, Future Farming, Human-Computer Interaction (HCI), Intelligent Systems, Smart Farming",

author = "Ashutosh Mishra and Shiho Kim",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 15th International Conference on Intelligent Human Computer Interaction, IHCI 2023 ; Conference date: 08-11-2023 Through 10-11-2023",

year = "2024",

doi = "10.1007/978-3-031-53827-8_28",

language = "English",

isbn = "9783031538261",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "310--325",

editor = "Choi, {Bong Jun} and Dhananjay Singh and Tiwary, {Uma Shanker} and Wan-Young Chung",

booktitle = "Intelligent Human Computer Interaction - 15th International Conference, IHCI 2023, Revised Selected Papers",

address = "Germany",

}

Mishra, A & Kim, S 2024, A Comprehensive Survey on AgriTech to Pioneer the HCI-Based Future of Farming. in BJ Choi, D Singh, US Tiwary & W-Y Chung (eds), Intelligent Human Computer Interaction - 15th International Conference, IHCI 2023, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14531 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 310-325, 15th International Conference on Intelligent Human Computer Interaction, IHCI 2023, Daegu, Korea, Republic of, 23/11/8. https://doi.org/10.1007/978-3-031-53827-8_28

A Comprehensive Survey on AgriTech to Pioneer the HCI-Based Future of Farming. / Mishra, Ashutosh; Kim, Shiho.
Intelligent Human Computer Interaction - 15th International Conference, IHCI 2023, Revised Selected Papers. ed. / Bong Jun Choi; Dhananjay Singh; Uma Shanker Tiwary; Wan-Young Chung. Springer Science and Business Media Deutschland GmbH, 2024. p. 310-325 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14531 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Comprehensive Survey on AgriTech to Pioneer the HCI-Based Future of Farming

AU - Mishra, Ashutosh

AU - Kim, Shiho

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - The burgeoning global population constricted arable land availability, exacerbated farming input expenditures, and a dwindling labor workforce underscore the imperative for pioneering advancements within the realm of agriculture and cultivation. AgriTech represents the synergistic integration of cutting-edge technologies and human-computer interaction (HCI) into traditional agricultural methodologies, poised to usher in a transformative era in farming practices. It heralds a promising frontier for the implementation of intelligent farming techniques. Within this scholarly exposition, we delve into the profound challenges that beset the domain of intelligent agriculture and advanced agricultural technologies. We proffer an in-depth exploration of historical developments, leveraging innovative applications of artificial intelligence (AI), automation, robotics, and the Internet of Things (IoT) to propel the paradigm of intelligent farming forward. Furthermore, we elucidate the impediments intrinsic to these technologies and proffer potential remedies encapsulated within the purview of AgriTech. This research not only serves as a comprehensive elucidation of the multifaceted intricacies within the domain of AgriTech but also serves as a launching pad, fostering fertile grounds for the cultivation of future AgriTech innovations.

AB - The burgeoning global population constricted arable land availability, exacerbated farming input expenditures, and a dwindling labor workforce underscore the imperative for pioneering advancements within the realm of agriculture and cultivation. AgriTech represents the synergistic integration of cutting-edge technologies and human-computer interaction (HCI) into traditional agricultural methodologies, poised to usher in a transformative era in farming practices. It heralds a promising frontier for the implementation of intelligent farming techniques. Within this scholarly exposition, we delve into the profound challenges that beset the domain of intelligent agriculture and advanced agricultural technologies. We proffer an in-depth exploration of historical developments, leveraging innovative applications of artificial intelligence (AI), automation, robotics, and the Internet of Things (IoT) to propel the paradigm of intelligent farming forward. Furthermore, we elucidate the impediments intrinsic to these technologies and proffer potential remedies encapsulated within the purview of AgriTech. This research not only serves as a comprehensive elucidation of the multifaceted intricacies within the domain of AgriTech but also serves as a launching pad, fostering fertile grounds for the cultivation of future AgriTech innovations.

KW - AgriTech

KW - Autonomous Vehicles

KW - Future Farming

KW - Human-Computer Interaction (HCI)

KW - Intelligent Systems

KW - Smart Farming

UR - http://www.scopus.com/inward/record.url?scp=85187709827&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85187709827&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-53827-8_28

DO - 10.1007/978-3-031-53827-8_28

M3 - Conference contribution

AN - SCOPUS:85187709827

SN - 9783031538261

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 310

EP - 325

BT - Intelligent Human Computer Interaction - 15th International Conference, IHCI 2023, Revised Selected Papers

A2 - Choi, Bong Jun

A2 - Singh, Dhananjay

A2 - Tiwary, Uma Shanker

A2 - Chung, Wan-Young

PB - Springer Science and Business Media Deutschland GmbH

T2 - 15th International Conference on Intelligent Human Computer Interaction, IHCI 2023

Y2 - 8 November 2023 through 10 November 2023

ER -

Mishra A, Kim S. A Comprehensive Survey on AgriTech to Pioneer the HCI-Based Future of Farming. In Choi BJ, Singh D, Tiwary US, Chung WY, editors, Intelligent Human Computer Interaction - 15th International Conference, IHCI 2023, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2024. p. 310-325. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-53827-8_28

A Comprehensive Survey on AgriTech to Pioneer the HCI-Based Future of Farming

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this