个人简介：

戚超， 2019年，硕士毕业于南京农业大学农业工程专业。

一、发表论文：

[1] Chao Qi, Junfeng Gao, Simon Pearson, Helen Harman, Kunjie Chen*, and Lei Shu*. Tea Chrysanthemum Detection under Unstructured Environments Using the TC-YOLO Model[J]. Expert Systems with Applications, 2022, 193:116473.

[2] Chao Qi, Junfeng Gao, Kunjie Chen*, Lei Shu*, and Simon Pearson. Tea Chrysanthemum Detection by Leveraging Generative Adversarial Networks and Edge Computing[J]. Frontiers in Plant Science, 2022, 13:850606.

[3] Chao Qi, Yi Zuo, Zheqi Chen, Kunjie Chen. Research on Rice Processing Accuracy Classification Method Based on Improved VGG16 Convolution Neural Network[J]. Transactions of the Chinese Society for Agricultural Machinery. (Accepted)

[4] Chao Qi, Jiaqi Xu, Chao Liu, Mingqing Wu, Kunjie Chen. Automatic Grading Method of Chicken Carcass Based on Machine Vision and Machine Learning Technology [J]. Journal of Nanjing Agricultural University, 2019, 42 (03): 551– 558.

[5] Yuping Huang, Renfu Lu, Chao Qi, Kunjie Chen. Detection Methods of Tomato Quality by Wavelength Ratio and Near Infrared Spectroscopy [J]. Spectroscopy and Spectral Analysis, 2018,38 (08): 2362–2368.

[6] Yuping Huang,Renfu Lu,Chao Qi,Kunjie Chen. Studyon Tomato Maturity Discrimination Method Based on Spatial Resolution Spectrum[J]. Spectroscopy and Spectral Analysis, 2018, 38 (07): 2183–2188. 2

[7] Ye Changwen, Chao Qi, Liu Chao, Zheng Xiaogang, Wang Peng, Chen kunjie. Detection method of broiler corona state based on fast-rcnn [J/OL]. Journal of agricultural machinery: 1–10. [2019-12-27]

[8] Ye, Changwen, Khurram Yousaf, Chao Qi, Chao Liu and Kunjie Chen 2019. Broiler stunned state detection based on an improved fast region-based convolutional neural networkalgorithm. Poultry Science. 0: 1–10.

[9] Nyalalaa, Innocent 2019. Tomato volume and mass estimation using computer vision and machine learning algorithms. Food Science 263: 288–298.