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Plant microphenotype: from innovative imaging to computational analysis.

Ying ZhangShenghao GuJianjun DuGuanmin HuangJiawei ShiXianju LuJinglu WangWanneng YangXinyu GuoChunjiang Zhao
Published in: Plant biotechnology journal (2024)
The microphenotype plays a key role in bridging the gap between the genotype and the complex macro phenotype. In this article, we review the advances in data acquisition and the intelligent analysis of plant microphenotyping and present applications of microphenotyping in plant science over the past two decades. We then point out several challenges in this field and suggest that cross-scale image acquisition strategies, powerful artificial intelligence algorithms, advanced genetic analysis, and computational phenotyping need to be established and performed to better understand interactions among genotype, environment, and management. Microphenotyping has entered the era of Microphenotyping 3.0 and will largely advance functional genomics and plant science.
Keyphrases
  • artificial intelligence
  • deep learning
  • machine learning
  • big data
  • public health
  • high throughput
  • electronic health record
  • single cell