Te Ma

Cognitive spectroscopy for wood species identification: near infrared hyperspectral imaging combined with convolutional neural networks.

Hideaki Kanayama, Te Ma, Satoru Tsuchikawa, 2019, The Analyst.

Rapid and non-destructive seed viability prediction using near-infrared hyperspectral imaging coupled with a deep learning approach

Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa, 2020, Comput. Electron. Agric..

Parameter Optimization of Vibrating and Comb-Brushing Harvesting of Lycium barbarum L. Based on FEM and RSM

Te Ma, Satoru Tsuchikawa, Tetsuya Inagaki, 2021, Horticulturae.

Finite Element Method Simulations and Experiments of Detachments of Lycium barbarum L.

Te Ma, Satoru Tsuchikawa, Tetsuya Inagaki, 2021, Forests.

Modal Analysis and Experiment of a Lycium barbarum L. Shrub for Efficient Vibration Harvesting of Fruit

Te Ma, Satoru Tsuchikawa, Jun Chen, 2021, Agriculture.

Noncontact evaluation of soluble solids content in apples by near-infrared hyperspectral imaging

Te Ma, Satoru Tsuchikawa, Tetsuya Inagaki, 2018 .

Rapid identification of wood species by near-infrared spatially resolved spectroscopy (NIR-SRS) based on hyperspectral imaging (HSI)

Te Ma, Satoru Tsuchikawa, Tetsuya Inagaki, 2018, Holzforschung.