Jun Wang

Orcid: 0000-0001-5767-6149

Affiliations:
  • Zhejiang University, Department of Biosystems Engineering, China


According to our database1, Jun Wang authored at least 12 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Optimization and validation of root-cutting device for Chinese cabbage harvester based on discrete element method.
Comput. Electron. Agric., November, 2023

E2CropDet: An efficient end-to-end solution to crop row detection.
Expert Syst. Appl., October, 2023

Labour-saving detection of hybrid rice rows at the pollination stage based on a multi-perturbed semi-supervised model.
Comput. Electron. Agric., August, 2023

Robust detection of headland boundary in paddy fields from continuous RGB-D images using hybrid deep neural networks.
Comput. Electron. Agric., April, 2023

2022
Thickness-Independent Measurement of Grain Moisture Content by Attenuation and Corrected Phase Shift of Microwave Signals at Multiple Optimized Frequencies.
IEEE Trans. Ind. Electron., 2022

2021
OM2S2: On-Line Moisture-Sensing System Using Multifrequency Microwave Signals Optimized by a Two-Stage Frequency Selection Framework.
IEEE Trans. Ind. Electron., 2021

Nondestructive evaluation of Chinese cabbage quality using mechanical vibration response.
Comput. Electron. Agric., 2021

2020
Development of Multifrequency-Swept Microwave Sensing System for Moisture Measurement of Sweet Corn With Deep Neural Network.
IEEE Trans. Instrum. Meas., 2020

Collaborative Analysis on the Marked Ages of Rice Wines by Electronic Tongue and Nose based on Different Feature Data Sets.
Sensors, 2020

2019
Ripeness Prediction of Postharvest Kiwifruit Using a MOS E-Nose Combined with Chemometrics.
Sensors, 2019

2017
Identification of the Rice Wines with Different Marked Ages by Electronic Nose Coupled with Smartphone and Cloud Storage Platform.
Sensors, 2017

2011
Discrimination and Prediction of Pork Freshness by E-nose.
Proceedings of the Computer and Computing Technologies in Agriculture V, 2011


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