Keling Tu

A non-destructive and highly efficient model for detecting the genuineness of maize variety 'JINGKE 968′ using machine vision combined with deep learning

Keling Tu, Shaozhe Wen, Ying Cheng et al. · Computers and Electronics in Agriculture · 2021 · 69 citations

Computing, Computer Science, Plant Sciences +14

Selection for high quality pepper seeds by machine vision and classifiers

Keling Tu, Lin-juan LI, Liming Yang et al. · Journal of Integrative Agriculture · 2018 · 65 citations · Full text

Agriculture, Agronomy, Crop Sciences +17

A model for genuineness detection in genetically and phenotypically similar maize variety seeds based on hyperspectral imaging and machine learning

Keling Tu, Shaozhe Wen, Ying Cheng et al. · Plant Methods · 2022 · 51 citations · Full text

Agriculture, Crop Sciences, Plant Sciences +17

AIseed: An automated image analysis software for high-throughput phenotyping and quality non-destructive testing of individual plant seeds

Keling Tu, Weifeng Wu, Ying Cheng et al. · Computers and Electronics in Agriculture · 2023 · 42 citations

Agriculture, Plant Biology, Plant Sciences +14

Effects of Seed Priming on Vitality and Preservation of Pepper Seeds

Keling Tu, Ying Cheng, Pan Tong et al. · Agriculture · 2022 · 26 citations · Full text

Agriculture, Agronomy, Plant Sciences +17