demonstration

Picture-based navigation for diagnosing post-harvest diseases of apple

Authors:

Maximilian Nocker,

Gabriele Sottocornola,

Markus Zanker,

Sanja Baric,

Greice Amaral Carneiro,

Fabio StellaAuthors Info & Claims

RecSys '18: Proceedings of the 12th ACM Conference on Recommender Systems

Pages 506 - 507

https://doi.org/10.1145/3240323.3241616

Published: 27 September 2018 Publication History

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Abstract

This demo presents a conversational navigation approach for a diagnostic application of postharvest diseases of apple with the goal to educate users on the diagnosed diseases as well as to recommend consequences for the storage facility and what action to take for the next growing period. It thus builds on earlier works on picture-based navigation for conversational recommender systems and provides evidence for its usability based on a first small-scale comparative usability study.

References

[1]

D.W. Boyd and M.K. Sun. 1994. Prototyping an expert system for diagnosis of potato diseases. Computers and Electronics in Agriculture 10, 3 (1994), 259 -- 267.

Crossref

Google Scholar

[2]

John Brooke. 1996. "SUS-A quick and dirty usability scale." Usability evaluation in industry. CRC Press. ISBN: 9780748404605.

Google Scholar

[3]

Michael Jugovac and Dietmar Jannach. 2017. Interacting with Recommenders-Overview and Research Directions. ACM Trans. Interact. Intell. Syst. 7, 3, Article 10 (Sept. 2017), 46 pages.

Digital Library

Google Scholar

[4]

Savita Kolhe, Raj Kamal, Harvinder S. Saini, and Girish Gupta. 2011. A web-based intelligent disease-diagnosis system using a new fuzzy-logic based approach for drawing the inferences in crops. 76 (03 2011), 16--27.

Digital Library

Google Scholar

[5]

B.D Mahaman, H.C Passam, A.B Sideridis, and C.P Yialouris. 2003. DIARES-IPM: a diagnostic advisory rule-based expert system for integrated pest management in Solanaceous crop systems. Agricultural Systems 76, 3 (2003), 1119 -- 1135.

Crossref

Google Scholar

[6]

Julia Neidhardt, Leonhard Seyfang, Rainer Schuster, and Hannes Werthner. 2015. A picture-based approach to recommender systems. J. of IT & Tourism 15, 1 (2015), 49--69.

Google Scholar

[7]

Ilaria Pertot, Tsvi Kuflik, Igor Gordon, Stanley Freeman, and Yigal Elad. 2012. Identificator: A Web-based Tool for Visual Plant Disease Identification, a Proof of Concept with a Case Study on Strawberry. Comput. Electron. Agric. 84 (June 2012), 144--154.

Digital Library

Google Scholar

[8]

Francesco Ricci, Karl Wöber, and Andreas Zins. 2005. Recommendations by Collaborative Browsing. In Information and Communication Technologies in Tourism 2005, Andrew J. Frew (Ed.). Springer Vienna, Vienna, 172--182.

Google Scholar

[9]

Turner B Sutton, Herb S Aldwinckle, Art Agnello, and James F Walgenbach (Eds.). 2014. Compendium of apple and pear diseases and pests (2 ed.). APS press.

Google Scholar

Cited By

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Sottocornola GBaric SNocker MStella FZanker M(2022)Picture-based and conversational decision support to diagnose post-harvest apple diseasesExpert Systems with Applications: An International Journal10.1016/j.eswa.2021.116052189:COnline publication date: 9-Apr-2022
https://dl.acm.org/doi/10.1016/j.eswa.2021.116052
Baric SGuizzardi GStella FZanker M(2021)The application of information technology to diagnose postharvest diseases of appleActa Horticulturae10.17660/ActaHortic.2021.1325.3(13-20)Online publication date: Oct-2021
https://doi.org/10.17660/ActaHortic.2021.1325.3
Sottocornola GStella FZanker M(2021)Counterfactual Contextual Multi-Armed Bandit to Diagnose Post-Harvest Diseases of AppleIEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology10.1145/3486622.3493926(241-248)Online publication date: 14-Dec-2021
https://dl.acm.org/doi/10.1145/3486622.3493926
Show More Cited By

Index Terms

Picture-based navigation for diagnosing post-harvest diseases of apple
1. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Expert systems

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Picture-based and conversational decision support to diagnose post-harvest apple diseases
Abstract
This article presents the development of an expert system to support the diagnosis of post-harvest diseases of stored apples. We propose a picture-based and conversational interaction with users, where sampled images depicting symptoms ...
Highlights
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Information & Contributors

Information

Published In

RecSys '18: Proceedings of the 12th ACM Conference on Recommender Systems

September 2018

600 pages

ISBN:9781450359016

DOI:10.1145/3240323

General Chairs:
Sole Pera
Boise State University
,
Michael Ekstrand
Boise State University
,
Program Chairs:
Xavier Amatriain
Curai, USA
,
John O'Donovan
University of California, Santa Barbara

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 September 2018

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Author Tags

Qualifiers

Demonstration

Conference

RecSys '18

Sponsor:

SIGCHI

RecSys '18: Twelfth ACM Conference on Recommender Systems

October 2, 2018

British Columbia, Vancouver, Canada

Acceptance Rates

RecSys '18 Paper Acceptance Rate 32 of 181 submissions, 18%;

Overall Acceptance Rate 254 of 1,295 submissions, 20%

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Cited By

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Sottocornola GBaric SNocker MStella FZanker M(2022)Picture-based and conversational decision support to diagnose post-harvest apple diseasesExpert Systems with Applications: An International Journal10.1016/j.eswa.2021.116052189:COnline publication date: 9-Apr-2022
https://dl.acm.org/doi/10.1016/j.eswa.2021.116052
Baric SGuizzardi GStella FZanker M(2021)The application of information technology to diagnose postharvest diseases of appleActa Horticulturae10.17660/ActaHortic.2021.1325.3(13-20)Online publication date: Oct-2021
https://doi.org/10.17660/ActaHortic.2021.1325.3
Sottocornola GStella FZanker M(2021)Counterfactual Contextual Multi-Armed Bandit to Diagnose Post-Harvest Diseases of AppleIEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology10.1145/3486622.3493926(241-248)Online publication date: 14-Dec-2021
https://dl.acm.org/doi/10.1145/3486622.3493926
Sottocornola GNocker MStella FZanker MPaternò FOliver NConati CSpano LTintarev N(2020)Contextual multi-armed bandit strategies for diagnosing post-harvest diseases of appleProceedings of the 25th International Conference on Intelligent User Interfaces10.1145/3377325.3377531(83-87)Online publication date: 17-Mar-2020
https://dl.acm.org/doi/10.1145/3377325.3377531
Sottocornola GBaric SNocker MStella FZanker M(undefined)Dssapple: A Hybrid Expert System for the Diagnosis of Post-Harvest Diseases of AppleSSRN Electronic Journal10.2139/ssrn.4066337
https://doi.org/10.2139/ssrn.4066337

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Recommendations

Contextual multi-armed bandit strategies for diagnosing post-harvest diseases of apple

Enhancing User Personalization in Conversational Recommenders

Picture-based and conversational decision support to diagnose post-harvest apple diseases