Call For Papers: 8th Workshop in Computer Vision in Plant Phenotyping & Agriculture

CVPPA, held in conjunction with ICCV 2023, aims to advance computer vision for plant and crop applications.

Paper submission deadline: July 21, 2023

Plant phenotyping, which involves studying the effects of genetic and environmental factors on plant structure and function, is crucial for sustainable agriculture. Traditionally, phenotypic traits were manually collected, but now sensor-based methods are preferred for non-invasive phenotyping. However, the analysis of these observations requires automated and accurate computer vision approaches to overcome bottlenecks that hinder our understanding of plant biology and limit our ability to ensure a sustainable food supply for a growing population in an unpredictable environment.

 

Researchers are welcome to submit papers in the following areas or related topics:

- advances in segmentation, tracking, detection, reconstruction, and identification methods that address unsolved plant phenotyping and agricultural scenarios;
- open source implementations, comparison and discussion of existing methods and annotation tools;
- image data sets defining plant phenotyping or agricultural tasks, complete with annotations if appropriate, accompanied with benchmark methods if possible, and suitable evaluation methods; and
- challenge contributions:
- Hierarchical Panoptic Segmentation of Crops and Weeds Challenge 2023,
- DND-Diko-WWWR: Classification of Nutrient Deficiency Challenge 2023.

 

Submission guidelines:

We encourage submission of full-length peer-reviewed papers, and short peer-reviewed abstracts. Only papers will appear in the ICCV 2023 proceedings. The best papers will be given opportunities for oral presentation. Further information about the workshop and the challenges is available at the workshop website.

 

Further dates:

Author notification August 11, 2023
Camera-ready submission August 21, 2023
Challenge deadline August 31, 2023

 

Workshop information
https://cvppa2023.github.io

Conference information
https://iccv2023.thecvf.com