Crop Phenotyping Based on Artificial Intelligence Methods
Deadline for manuscript submissions: 29 February 2024 | Viewed by 317
Crop phenomics, as one of the core key technologies in the development process from traditional agriculture to smart agriculture, has been increasingly emphasized by the majority of agricultural scientists. With the rapid development of artificial intelligence technology represented by deep learning, the development of crop phenomics technology has been greatly promoted. This Special Issue, titled "Crop Phenotyping Based on Artificial Intelligence Methods", will focus on the solution of new problems in crop phenomics, the proposal of new methods and technologies for phenotyping, and the release of new platforms for phenotyping and analyzing driven by AI technology. This Special Issue will focus on the above topics, but its content is not limited to these topics, as the study of the pattern of change of crop phenotypes, the genetic analysis of phenotypic changes, and the study of functional phenotypes of crops, etc., will also be covered.
Dr. Rongsheng Zhu
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- crop phenomics
- image processing
- deep learning
- machine learning
- agronomy traits
- growth and development period
- biotic and abiotic stresses
- physiological phenotype