Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Machine learning for pest detection and infestation prediction: A comprehensive review
Pests pose a major danger to a variety of industries, including agriculture, public health, and
ecosystems. Fast and precise pest detection, as well as the ability to predict infestations, are …
ecosystems. Fast and precise pest detection, as well as the ability to predict infestations, are …
Pest recognition in microstates state: an improvement of YOLOv7 based on Spatial and Channel Reconstruction Convolution for feature redundancy and vision …
J He, S Zhang, C Yang, H Wang, J Gao… - Frontiers in plant …, 2024 - frontiersin.org
Introduction In order to solve the problem of precise identification and counting of tea pests,
this study has proposed a novel tea pest identification method based on improved YOLOv7 …
this study has proposed a novel tea pest identification method based on improved YOLOv7 …
A novel nondestructive detection approach for seed cotton lint percentage using deep learning
L Geng, P Yan, Z Ji, C Song, S Song, R Zhang… - Journal of Cotton …, 2024 - Springer
Background The lint percentage of seed cotton is one of the most important parameters for
evaluating seed cotton quality and affects its price. The traditional measuring method of lint …
evaluating seed cotton quality and affects its price. The traditional measuring method of lint …
Low Noise Wireless Sensing in Termite Detection
W Zhang, X Qi, Y Luo, A Qi, Y Qi… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Termites cause enormous financial damages all around the world every year. The majority
of research on wireless sensing is always concerned with the various human-centric …
of research on wireless sensing is always concerned with the various human-centric …
Machine Learning-Based Classification of Termite Genera
This paper presents an approach for the automatic identification of termite species based on
the measurements of various body parts and the use of a random forest classifier model …
the measurements of various body parts and the use of a random forest classifier model …
Industry 4.0 Concepts in Pest Management
RK Gokulakrishnaa, S Thirunavukkarasu - 2023 - indianjournals.com
Industry 4.0 otherwise called as Fourth Industrial Revolution, is the current trend of
automation and data exchange in manufacturing technologies, including cyber physical …
automation and data exchange in manufacturing technologies, including cyber physical …
Identification of Diseases and Insect Pests of Malu Grape Based on CSJMM⁃ AS⁃ GAC
X WANG, H ZHENG, S WANG - Journal of Henan Agricultural …, 2022 - hnnykx.org.cn
In order to improve the identification accuracy of diseases and insect pests of Malu grape
and effectively carry out the prevention and control of diseases and insect pests of Malu …
and effectively carry out the prevention and control of diseases and insect pests of Malu …
基于 CSJMM-AS-GAC 的马陆葡萄病虫害 识别研究.
王兴旺, 郑汉垣, 王素青 - Journal of Henan Agricultural …, 2022 - search.ebscohost.com
为了提高马陆葡萄病虫害的识别准确率, 有效地进行马陆葡萄病虫害防控,
对测地线活动轮廓模型(GAC) 进行改进, 通过引入动态系数函数将马陆葡萄病虫害图像边界区域 …
对测地线活动轮廓模型(GAC) 进行改进, 通过引入动态系数函数将马陆葡萄病虫害图像边界区域 …