Shih-Fang Chen

发表

Identification of tea foliar diseases and pest damage under practical field conditions using a convolutional neural network

Sheng-Hung Lee, Shiou-Ruei Lin, Shih-Fang Chen, 2020 .

Application of Deep Learning Algorithm on Tea Shoot Identification and Localization

Shih-Fang Chen, Yu-Ting Chen, Chia-Chang Wu, 2018 .

Decomposition and solubility of H2O2: implications in exhaled breath condensate

Mary-Grace C. Danao, Shih-Fang Chen, 2013, Journal of breath research.

Identifying tomato leaf diseases under real field conditions using convolutional neural networks and a chatbot

Shih-Fang Chen, Hao-Chun Hsu, Y. Kuo, 2022, Comput. Electron. Agric..

A Summer Daytime Study of Airborne Microorganism Types and Concentrations in Taichung Using an Andersen Six-Stage Viable Sampler

Shih-Fang Chen, Chun-Chin Wang, Shangfei Lin, 2006 .

Determining sucrose and glucose levels in dual-purpose sorghum stalks by Fourier transform near infrared (FT-NIR) spectroscopy.

Mary-Grace C. Danao, Shih-Fang Chen, P. Brown, 2014, Journal of the science of food and agriculture.

Development of Navigation System for Tea Field Machine Using Semantic Segmentation

Shih-Fang Chen, Yu-Kai Lin, Shih-Fang Chen, 2019, IFAC-PapersOnLine.

Developing a guiding and growth status monitoring system for riding-type tea plucking machine using fully convolutional networks

Shih-Fang Chen, Yu-Kai Lin, Y. Kuo, 2021, Comput. Electron. Agric..

Localizing plucking points of tea leaves using deep convolutional neural networks

Shih-Fang Chen, Yu-Ting Chen, Shih-Fang Chen, 2020, Comput. Electron. Agric..

On precisely relating the growth of Phalaenopsis leaves to greenhouse environmental factors by using an IoT-based monitoring system

Yu-Chi Chang, Cheng-Ying Chou, Joe-Air Jiang, 2017, Comput. Electron. Agric..

Stalk strength and sugar content of 55 dual-purpose sorghum inbreds

Mary-Grace C. Danao, Shih-Fang Chen, P. Brown, 2015 .

Prediction of Specialty Coffee Flavors Based on Near-Infrared Spectra Using Machine and Deep Learning Methods.

Shih-Fang Chen, Juin-Ming Lu, Yu-Tang Chang, 2021, Journal of the science of food and agriculture.

Prediction of Starch Content and Ethanol Yields of Sorghum Grain Using near Infrared Spectroscopy

Mary-Grace C. Danao, Shih-Fang Chen, P. Brown, 2015 .

Predictive models of ethanol concentrations in simulated exhaled breath and exhaled breath condensate under varied sampling conditions

Mary-Grace C. Danao, Shih-Fang Chen, 2013 .

Uncertainty estimation of ethanol concentration in simulated breath using enzyme-based biosensors

Mary-Grace C. Danao, Shih-Fang Chen, R. Gates, 2014, Accreditation and Quality Assurance.

Development of Image Recognition and Classification Algorithm for Tea Leaf Diseases Using Convolutional Neural Network

Shih-Fang Chen, Sheng-Hung Lee, Chia-Chang Wu, 2018 .