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CADAT 2026 : The Third International Conference on Accessible Digital Agriculture Technologies

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Link: https://www.iaria.org/conferences2026/CADAT26.html
 
When Oct 25, 2026 - Oct 29, 2026
Where Lisbon, Portugal
Submission Deadline Jul 6, 2026
Notification Due Aug 23, 2026
Final Version Due Sep 6, 2026
Categories    AI   robotics   machine learning   food
 

Call For Papers

Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:

- CADAT 2026, The Third International Conference on Accessible Digital Agriculture Technologies

CADAT 2026 is scheduled to be October 25 - 29, 2026 in Lisbon, Portugal under the DigitalSustainability 2026 umbrella.

The submission deadline is July 6, 2026.

Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: https://www.iariajournals.org

All events will be held in a hybrid mode: on site, online, prerecorded videos, voiced presentation slides, pdf slides.

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============== CADAT 2026 | Call for Papers ===============

CALL FOR PAPERS, TUTORIALS, PANELS


CADAT 2026, The Third International Conference on Accessible Digital Agriculture Technologies

General page: https://www.iaria.org/conferences2026/CADAT26.html

Submission page: https://www.iaria.org/conferences2026/SubmitCADAT26.html


Event schedule: October 25 - 29, 2026


Contributions:

- regular papers [in the proceedings, digital library]

- short papers (work in progress) [in the proceedings, digital library]

- ideas: two pages [in the proceedings, digital library]

- extended abstracts: two pages [in the proceedings, digital library]

- posters: two pages [in the proceedings, digital library]

- posters: slide only [slide-deck posted at www.iaria.org]

- presentations: slide only [slide-deck posted at www.iaria.org]

- demos: two pages [posted at www.iaria.org]


Submission deadline: July 6, 2026


Extended versions of selected papers will be published in IARIA Journals: https://www.iariajournals.org

Print proceedings will be available via Curran Associates, Inc.: https://www.proceedings.com/9769.html

Articles will be archived in the free access ThinkMind Digital Library: https://www.thinkmind.org


The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions.
Before submission, please check and comply with the editorial rules: https://www.iaria.org/editorialrules.html


CADAT 2026 Topics (for topics and submission details: see CfP on the site)

Call for Papers: https://www.iaria.org/conferences2026/CfPCADAT26.html

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CADAT 2026 Tracks (topics and submission details: see CfP on the site)


AI and Machine Learning in Crop Management

- Crop Disease Detection

- Yield Prediction and Optimization

- Pest Management Strategies

- Soil Health Assessment

Digital Twins for Agricultural Systems

- Virtual Farming Simulations

- IoT-enabled Farm Monitoring

- Precision Livestock Farming

- Climate Adaptation Strategies

Robotic Harvesting and Farm Automation

- Autonomous Harvesting Machinery

- Weed Control Robots

- Autonomous Greenhouse Operations

- Human-Robot Collaboration in Agriculture

Smart Sensors and IoT Integration for Real-Time Food Monitoring

- Wireless Communication Protocols in the food supply chain

- Data Fusion and Integration Strategies

- Cloud-Based Analytics and Predictive Maintenance

AI and Machine Learning in Food Safety Analytics

- Predictive Modeling for Contamination Detection

- Anomaly Detection and Outlier Identification

- Image Recognition and Computer Vision

- Integration of Sensor Data and Environmental Factors

- Explainable AI and Interpretability in Decision-Making



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CADAT 2026 Committee: https://www.iaria.org/conferences2026/ComCADAT26.html


IARIA Ambassadors

Steve Chan, Decision Engineering Analysis Laboratory, USA
Dirceu Cavendish, Kyushu Institute of Technology, Japan
Monika Maria Moehring, Study Centre for Blind and Disabled Students, Technische Hochschule Mittelhessen, Gie en Germany
Carlos Becker Westphall, Federal University of Santa Catarina, Brazil
Lasse Berntzen, University of South-Eastern Norway, Norway
Les Sztandera, Thomas Jefferson University, Philadelphia, USA
Andreas Rausch, TU Clausthal, Clausthal-Zellerfeld, Germany
Timothy Phan, NASA, Jet Propulsion Laboratory, USA
Manuela Vieira, CTS/ISEL/IPL, Portugal
Luigi Lavazza, Universit dell'Insubria - Varese, Italy

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