Call for Papers - International Conference on Agriculture-Centric Computation

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About the Organization

Indian Institute of Technology Ropar is a public technical university located in Rupnagar, Punjab, India.

About the Conference

The role of computing technologies in agriculture is growing. We provide a forum for the researchers working on the intersection of agriculture and computing to share their results. Original research papers are invited on IoT, Precision Agriculture, Crop-Yield Prediction, Remote-Sensing, Datasets, and Agriculture Data Analysis using AI/ML techniques.

The conference will be a three-day event with around 25 single-track paper presentations, three keynote speeches, one workshop, one tutorial, and one panel discussion.

The conference will take place in the beautiful city of Chandigarh.

We invite authors to submit their original research work on agriculture-centric computing. The maximum number of pages is 6 for a full paper. The review process is double blind, so do not include author information in the paper. Please make sure the paper is at least 4 page long. The topics of the conference include, but are not limited to:

• IoT Technologies for Agriculture and water automation
• Deep learning methods for agriculture and water data analysis
• Data mining techniques for agriculture and water data analysis
• Segmentation of drone/satellite/smartphone-captured plant and landscape images
• Crop-yield prediction
• Time series models, specifically in the agricultural context
• Applications in precision agriculture
• Agriculture and water-related datasets
• Tools, techniques and equipments for smart agriculture

The conference will have two demo sessions on the first two days. During these sessions, the researchers can demo their projects/systems/products. To be included in the demo session, please email the demo chair seperately with a two pages extended abstract of the project.

How to Apply

Paper Submission Deadline: 1st March, 2023

Submission link: https://easychair.org/conferences/?conf=ica23

For more information please check the Link