ICMLMPS 2020 : International Conference on Machine Learning Methods in Plant Science is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Machine Learning Methods in Plant Science. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:

• Machine learning in plant science
• Machine learning techniques in plant biology
• Machine learning in crop improvement
• Machine learning in nutrigenomics
• Machine learning in biochemical engineering
• Machine learning in plant biotechnology
• Agricultural bioinformatics and smart farming
• Machine learning for big data analytics in plants
• Deep learning for plant identification in natural environment
• Deep learning for image-based plant disease detection
• Machine learning-based models, software packages and web servers for specific prediction problems in plants
• Development of novel models, software packages and web servers for specific prediction problems in plants
• Development of biological databases with machine learning-based predictions and experimental data