Search Results - "Deng, Limiao"

Aflatoxin contaminated degree detection by hyperspectral data using band index by Zhongzhi, Han, Limiao, Deng

“…Aflatoxin is a highly toxic and carcinogenic substance with fluorescence characteristic. To explore the feasibility of detection the degree of aflatoxin…”
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Research on insect pest image detection and recognition based on bio-inspired methods by Deng, Limiao, Wang, Yanjiang, Han, Zhongzhi, Yu, Renshi

“…Insect pest recognition and detection are vital for food security, a stable agricultural economy and quality of life. To realise rapid detection and…”
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Application driven key wavelengths mining method for aflatoxin detection using hyperspectral data by Zhongzhi, Han, Limiao, Deng

“…•Aflatoxin detection using hyperspectral data using pure spectrum, multispectrum and hyper-spectrum.•A weighted voting method was proposed for key wavelengths…”
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Recognition pest by image‐based transfer learning by Dawei, Wang, Limiao, Deng, Jiangong, Ni, Jiyue, Gao, Hongfei, Zhu, Zhongzhi, Han

“…BACKGROUND Plant pests mainly refers to insects and mites that harm crops and products. There are a wide variety of plant pests, with wide distribution, fast…”
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Research On Maize Disease Identification Methods In Complex Environments Based On Cascade Networks And Two-Stage Transfer Learning by Liu, Hongxin, Lv, Haichen, Li, Jiajun, Liu, Yongshuo, Deng, Limiao

“…Achieving accurate and reliable maize disease identification in complex environments is a huge challenge. This is because disease images obtained from natural…”
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Monitoring the Change Process of Banana Freshness by GoogLeNet by Ni, Jiangong, Gao, Jiyue, Deng, Limiao, Han, Zhongzhi

“…Freshness is the most critical indicator for fruit quality, and directly impacts consumers' physical health and their desire to buy. Also, it is an essential…”
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Food safety testing by negentropy-sorted kernel independent component analysis based on infrared spectroscopy by Liu, Jing, Deng, Limiao, Han, Zhongzhi

“…In the field of food safety testing, variety, brand, origin, and adulteration are four important factors. In this study, a novel food safety testing method…”
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Oil Adulteration Identification by Hyperspectral Imaging Using QHM and ICA by Han, Zhongzhi, Wan, Jianhua, Deng, Limiao, Liu, Kangwei

“…To investigate the feasibility of identification of qualified and adulterated oil product using hyperspectral imaging(HIS) technique, a novel feature set based…”
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Detection and Analysis of Behavior Trajectory for Sea Cucumbers Based on Deep Learning by Li, Juan, Xu, Chen, Jiang, Lingxu, Xiao, Ying, Deng, Limiao, Han, Zhongzhi

“…The motion trajectory of sea cucumbers reflects the behavior of sea cucumbers, and the behavior of sea cucumbers reflects the status of the feeding and…”
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Precision Detection of Salt Stress in Soybean Seedlings Based on Deep Learning and Chlorophyll Fluorescence Imaging by Deng, Yixin, Xin, Nan, Zhao, Longgang, Shi, Hongtao, Deng, Limiao, Han, Zhongzhi, Wu, Guangxia

“…Soil salinization poses a critical challenge to global food security, impacting plant growth, development, and crop yield. This study investigates the efficacy…”
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KRS-Net: A Classification Approach Based on Deep Learning for Koi with High Similarity by Zheng, Youliang, Deng, Limiao, Lin, Qi, Xu, Wenkai, Wang, Feng, Li, Juan

“…As the traditional manual classification method has some shortcomings, including high subjectivity, low efficiency, and high misclassification rate, we studied…”
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From Organelle Morphology to Whole-Plant Phenotyping: A Phenotypic Detection Method Based on Deep Learning by Liu, Hang, Zhu, Hongfei, Liu, Fei, Deng, Limiao, Wu, Guangxia, Han, Zhongzhi, Zhao, Longgang

“…The analysis of plant phenotype parameters is closely related to breeding, so plant phenotype research has strong practical significance. This paper used deep…”
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Identification of Soybean Mutant Lines Based on Dual-Branch CNN Model Fusion Framework Utilizing Images from Different Organs by Wu, Guangxia, Fei, Lin, Deng, Limiao, Yang, Haoyan, Han, Meng, Han, Zhongzhi, Zhao, Longgang

“…The accurate identification and classification of soybean mutant lines is essential for developing new plant varieties through mutation breeding. However, most…”
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Online defect detection and automatic grading of carrots using computer vision combined with deep learning methods by Deng, Limiao, Li, Juan, Han, Zhongzhi

“…The demand for smart automatic system in postharvest technology, particularly in the postharvest of carrot production is high. In this paper, an automatic…”
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Image features and DUS testing traits for peanut pod variety identification and pedigree analysis by Deng, Limiao, Han, Zhongzhi

“…BACKGROUND DUS (Distinctness, Uniformity and Stability) testing of new varieties is an important method for peanut germplasm evaluation and identification of…”
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Aflatoxin rapid detection based on hyperspectral with 1D-convolution neural network in the pixel level by Gao, Jiyue, Zhao, Longgang, Li, Juan, Deng, Limiao, Ni, Jiangong, Han, Zhongzhi

“…•1D-CNN was used to classify aflatoxin in pixel level based on hyperspectral data.•The best combination of parameters of 1D-CNN models was explored.•The test…”
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SO-YOLOv5: Small object recognition algorithm for sea cucumber in complex seabed environment by Xuan, Kui, Deng, Limiao, Xiao, Ying, Wang, Peidong, Li, Juan

“…Underwater object recognition is a prerequisite for the realization of automated seafood harvesting. To solve the problems of low recognition accuracy and poor…”
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Strawberry R-CNN: Recognition and counting model of strawberry based on improved faster R-CNN by Li, Jiajun, Zhu, Zifeng, Liu, Hongxin, Su, Yurong, Deng, Limiao

“…Computer technology's rapid advancement has significantly enhanced global agricultural modernization, notably improving agricultural production efficiency…”
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Deep learning for visual recognition and detection of aquatic animals: A review by Li, Juan, Xu, Wenkai, Deng, Limiao, Xiao, Ying, Han, Zhongzhi, Zheng, Haiyong

“…The ocean is an important ecosystem, and aquatic animals play an important role in the biological world, especially in aquaculture. How to accurately and…”
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Bio-inspired model for object recognition based on histogram of oriented gradients by Limiao Deng, Yanjiang Wang

“…Hierarchical Model and X (HMAX) is an outstanding bio-inspired model for object recognition. But there are still some limitations such as its poor invariance…”
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