中文
Home
Scientific Research
Research Projects
Paper Publications
Patents
Published Books
Teaching Research
Teaching Resources
Teaching Information
Award information
personal honors
scientific research awards
teaching awards
Enrollment Information
Student Information
My Album
Blog
Personal Homepage
中
Home
Scientific Research
Research Projects
Paper Publications
Patents
Published Books
Teaching Research
Teaching Resources
Teaching Information
Award information
personal honors
scientific research awards
teaching awards
Enrollment Information
Student Information
My Album
Blog
Kailiang Li
School/Department: College of Artificial Intelligence
Education Level:University graduated
Degree:Bachelor's Degree in Science
Alma Mater:
广东石油化工学院
MORE
Paper Publications
Home
>>
Scientific Research
>>
Paper Publications
A Novel Accurate Insecticidal Counting Method Based on Solar Insecticidal Lamp Using Machine Learning
Release time:2025-01-02
Hits:
Impact Factor:
3.9
Affiliation of Author(s):
人工智能学院
Journal:
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
Co-author:
Huang Kai, Shu Lei, Li Kailiang, Feng Yuyu, Yang Xing, Liu Ye, Yang Fan, Zhu Yan
Document Code:
2c9e868c93f15c310194019dbd061605
Volume:
69
Issue:
4
Page Number:
1045-1045
Translation or Not:
no
Date of Publication:
2023-11-01
Pre One:
SILOS: An Intelligent Fault Detection Scheme for Solar Insecticidal Lamp IoT With Improved Energy Efficiency
Next One:
Sustainable and Intelligent Phytoprotection in Photovoltaic Agriculture: New Challenges and Opportunities