Machine learning for pest detection and infestation prediction: A comprehensive review

M Mittal, V Gupta, M Aamash… - … Reviews: Data Mining …, 2024 - Wiley Online Library
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 …

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 …

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 …

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 …

Machine Learning-Based Classification of Termite Genera

S Perumal, H Rahman, V Raman… - … in Engineering and …, 2024 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …