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Article

Deep Transfer Learning-Based Multi-Object Detection for Plant Stomata Phenotypic Traits Intelligent Recognition.

IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000

Yang Xiao-Hui, Xi Zi-Jun, Li Jie-Ping, Feng Xin-Lei, Zhu Xiao-Hong, Guo Si-Yi, Song Chun-Peng

Abstract excerpt

Plant stomata phenotypic traits can provide a basis for enhancing crop tolerance in adversity. Manually counting the number of stomata and measuring the height and width of stomata obviously cannot satisfy the high-throughput data. How to detect and recognize plant stomata quickly and accurately is the prerequisite and key for studying the physiological characteristics of stomata. In this research, we consider...

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PMID: 34941519
DOI: 10.1109/TCBB.2021.3137810

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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