Publications by authors named "Weibo Qin"
Genetic Warfare: The Plant Genome's Role in Fending Off Insect Invaders.
Arch Insect Biochem Physiol
December 2024
The plant defense against insects is multiple layers of interactions. They defend through direct defense and indirect defense. Direct defenses include both physical and chemical barriers that hinder insect growth, development, and reproduction.
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- The maize crop faces significant threats from four major pest species during various larval stages, making manual identification and control challenging.
- To address this, an automated system using different Convolutional Neural Network models was developed, focusing on classifying the larval stages of these pests, including the Asian corn borer and fall armyworm.
- Among the models tested, Densenet121 with the Adam optimizer achieved the highest classification accuracy of 96.65%, and performed well in real field conditions, demonstrating a 90% accuracy in identifying pest instars, highlighting its potential for improving pest management strategies in agriculture.
Introduction: Compound annotation is always a challenging step in metabolomics studies. The molecular networking strategy has been developed recently to organize the relationship between compounds as a network based on their tandem mass (MS2) spectra similarity, which can be used to improve compound annotation in metabolomics analysis.
Objective: This study used Bupleuri Radix from different geographic areas to evaluate the performance of molecular networking strategy for compound annotation in liquid chromatography-mass spectrometry (LC-MS)-based metabolomics.
Introduction: The study addresses challenges in detecting cotton leaf pests and diseases under natural conditions. Traditional methods face difficulties in this context, highlighting the need for improved identification techniques.
Methods: The proposed method involves a new model named CFNet-VoV-GCSP-LSKNet-YOLOv8s.