Jun Wang
Orcid: 0000-0001-5767-6149Affiliations:
- Zhejiang University, Department of Biosystems Engineering, China
According to our database1,
Jun Wang
authored at least 17 papers
between 2009 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Topological organization for hybrid rice growth stages Phenotype based on Contrastive clustering.
Expert Syst. Appl., 2025
2024
A curved path extraction method using RGB-D multimodal data for single-edge guided navigation in irregularly shaped fields.
Expert Syst. Appl., 2024
Rethinking the crop row detection pipeline: An end-to-end method for crop row detection based on row-column attention.
Comput. Electron. Agric., 2024
Maturity identification and category determination method of broccoli based on semantic segmentation models.
Comput. Electron. Agric., 2024
2023
Optimization and validation of root-cutting device for Chinese cabbage harvester based on discrete element method.
Comput. Electron. Agric., November, 2023
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
Proceedings of the Computer and Computing Technologies in Agriculture V, 2011
2009
Identification of Tea Storage Times by Linear Discrimination Analysis and Back-Propagation Neural Network Techniques Based on the Eigenvalues of Principal Components Analysis of E-Nose Sensor Signals.
Sensors, 2009