Zhongzhi Han

Orcid: 0000-0002-5662-319X

According to our database1, Zhongzhi Han authored at least 16 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Dual-channel convolutional neural network for tomato pesticide residue detection using Gramian angular field transformations.
Eng. Appl. Artif. Intell., 2026

Automatic stem phenotyping in soybean using keypoint detection.
Eng. Appl. Artif. Intell., 2026

Deep learning and XAI-enabled prediction of maize seed vigor phenotypes and physiological trait with spectral feature association analysis.
Comput. Electron. Agric., 2026

2025
Multimodal spectral-textual alignment and fusion of large language model and small model for seed quality assessment: A case study in maize vigor detection.
Eng. Appl. Artif. Intell., 2025

Efficient intelligent quality detection of pistachios using multi-view deep learning.
Eng. Appl. Artif. Intell., 2025

Pixel-level spectral reconstruction and compressed projection based on deep learning in detecting aflatoxin B1.
Comput. Electron. Agric., 2025

Identification of maize seed vigor under different accelerated aging times using hyperspectral imaging and spectral deep features.
Comput. Electron. Agric., 2025

Potato disease detection and prevention using multimodal AI and large language model.
Comput. Electron. Agric., 2025

A pumpkin seed vitality detection model based on deep spectral features.
Comput. Electron. Agric., 2025

2024
Food safety testing by negentropy-sorted kernel independent component analysis based on infrared spectroscopy.
High Confid. Comput., 2024

A self-iterative learning with dual attention mechanism fusion method for pumpkin seed quality equipment.
Eng. Appl. Artif. Intell., 2024

2023
Quantitative aflatoxin B1 detection and mining key wavelengths based on deep learning and hyperspectral imaging in subpixel level.
Comput. Electron. Agric., March, 2023

2021
Recognition of carrot appearance quality based on deep feature and support vector machine.
Comput. Electron. Agric., 2021

2020
Analysis of Behavior Trajectory Based on Deep Learning in Ammonia Environment for Fish.
Sensors, 2020

Monitoring the Change Process of Banana Freshness by GoogLeNet.
IEEE Access, 2020

Detection and Analysis of Behavior Trajectory for Sea Cucumbers Based on Deep Learning.
IEEE Access, 2020


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