We invite extended abstracts for oral and/or poster presentations on topics Including but not limited to machine learning applications to plant phenotyping, plant pathology (e.g., disease scouting), plant breeding (e.g., yield prediction) and enabling smart farm management practices. We particularly encourage ML concepts applied to plant breeding, field-based experiments, production agriculture as well as lab based controlled experiments. We also encourage work that result in creating annotated benchmark datasets for ML in agriculture.

Guidelines

Guidelines for Extended abstract submissions: Up to 4 pages including figures, tables and references. Extended abstract template: Please click here.

Submission Guidelines: Submissions are through EasyChair portal. If you do not have an EasyChair account, please create one first. If you already have an EasyChair account, please login to your account and enter as an author for MLCAS 2018 by following this link - HERE.

Guidelines for Poster presentations: Poster Size: A0 [around 84.1 cm x 118.9 cm (width x height)]; Poster template: Please click HERE.

Procedure

Coming Soon.