Ke-Jun Fan

DSAP-WeedNet: A Down-Scale Attention-Guided Lightweight Network for Real-Time Weed Detection Enabling Precision Control in Potato Fields

Lei Han, Yi-Teng Wu, Ke-Jun Fan, Rui-Feng Wang et autres

cn, us (code pays fourni par la source)

Rapid detection of protein content in fungal mycelia using robust NIR spectroscopy framework for precise control of fermentation process

Ke-Jun Fan, Dingrong Kang, Shipeng Kang, Guangyao Hu et autres

cn, us, br (code pays fourni par la source)

DB-FusionNet: A dual-branch CNN framework with spatial pyramid-based multi-scale spatial-spectral fusion for HSI classification

Q. Y. Zhang, Ke-Jun Fan, G.H. Hu, Wen‐Hao Su

Hyperspectral image (HSI) classification is critical for accurate land cover mapping by utilizing rich spectral and spatial information.However, existing methods often struggle with inadequate fusion of spatial and spectral features, excessive computational burden, and limited generalization capability. To overcome these challenges, this …

cn, jp (code pays fourni par la source)

MT-NIRNet: A multi-task deep learning framework for classifying polygonatum origins and varieties based on near-infrared spectroscopy

Q. Y. Zhang, G.H. Hu, Yixiao Xu, S. K. Kang et autres

cn (code pays fourni par la source)

Semi-supervised deep learning framework based on modified pyramid scene parsing network for multi-label fine-grained classification and diagnosis of apple leaf diseases

Ke-Jun Fan, Boyuan Liu, Wen‐Hao Su, Yankun Peng

cn (code pays fourni par la source)

Integrating Computer Vision and Machine Learning for Precision Trait Analysis and Yield Prediction in Soybean

Ke-Jun Fan, Yaoyao Fan, G.H. Hu, Ce Yang et autres

cn, us (code pays fourni par la source)

Convolutional Neural Network and Hyperspectral Imaging for Detection of Deoxynivalenol Levels of Barley Kernels

Boyuan Liu, Ke-Jun Fan, Wen‐Hao Su

Fusarium head blight (FHB) is a devastating disease impacting grain crops worldwide, leading to the production of mycotoxins in grains, with deoxynivalenol (DON) being the most prevalent. DON is present in both unprocessed and processed grains and poses a serious threat to …

cn (code pays fourni par la source)

High-Precision Automated Soybean Phenotypic Feature Extraction Based on Deep Learning and Computer Vision

Q. Y. Zhang, Ke-Jun Fan, Zhixi Tian, Kai Guo et autres

The automated collection of plant phenotypic information has become a trend in breeding and smart agriculture. Four YOLOv8-based models were used to segment mature soybean plants placed in a simple background in a laboratory environment, identify pods, distinguish the number of soybeans …

cn (code pays fourni par la source)

Semi-Supervised Deep Learning Framework Based on Modified Pyramid Scene Parsing Network for Multi-Label Fine-Grained Classification and Diagnosis of Apple Leaf Diseases

Ke-Jun Fan, Boyuan Liu, Wen‐Hao Su, Yankun Peng

cn (code pays fourni par la source)

Enhanced Transformer Framework for Multi-label Fine-grained Apple Leaf Disease Diagnosis

Ke-Jun Fan, W. Su, Bo-Yuan Liu, C. Yang

Abstract. Apple leaf diseases can seriously affect apple yield and quality. This study presents a transformer-based fine-grained multi-label framework for the efficient classification of apple leaf diseases. The traditional methods that rely on specialized personnel face inefficiencies in large orchards. The framework …

cn, us (code pays fourni par la source)

Discrimination of Deoxynivalenol Levels of Barley Kernels Using Hyperspectral Imaging in Tandem with Optimized Convolutional Neural Network

Ke-Jun Fan, Boyuan Liu, Wen‐Hao Su

Deoxynivalenol (DON) in raw and processed grain poses significant risks to human and animal health. In this study, the feasibility of classifying DON levels in different genetic lines of barley kernels was evaluated using hyperspectral imaging (HSI) (382-1030 nm) in tandem with …

cn (code pays fourni par la source)

Two-Stage Convolutional Neural Networks for Diagnosing the Severity of Alternaria Leaf Blotch Disease of the Apple Tree

Boyuan Liu, Ke-Jun Fan, Wen‐Hao Su, Yankun Peng

In many parts of the world, apple trees suffer from severe foliar damage each year due to infection of Alternaria blotch (Alternaria alternata f. sp. Mali), resulting in serious economic losses to growers. Traditional methods for disease detection and severity classification mostly …

cn (code pays fourni par la source)