MD-YOLO: Multi-scale Dense YOLO for small target pest detection

Y Tian, S Wang, E Li, G Yang, Z Liang, M Tan - Computers and Electronics …, 2023 - Elsevier
The detection of pests plays a crucial role in intelligent early warning systems of injurious
insects and diseases in precision agriculture. However, pests strong concealment and …

农业害虫检测的深度学习算法综述.

蒋心璐, 陈天恩, 王聪, 李书琴… - Journal of Computer …, 2023 - search.ebscohost.com
害虫检测是害虫测报的关键步骤, 对于害虫防治具有重要意义, 也是保证农作物产量和品质的
前提. 近年来, 随着卷积神经网络的迅速发展, 害虫检测技术进入智能化时代 …

Research on CBF-YOLO detection model for common soybean pests in complex environment

L Zhu, X Li, H Sun, Y Han - Computers and Electronics in Agriculture, 2024 - Elsevier
The intensive cultivation of large soybean fields, combined with environmental factors such
as light and shadow, challenges the accuracy of traditional manual and machine learning …

Detection of coconut clusters based on occlusion condition using attention-guided faster R-CNN for robotic harvesting

LG Divyanth, P Soni, CM Pareek, R Machavaram… - Foods, 2022 - mdpi.com
Manual harvesting of coconuts is a highly risky and skill-demanding operation, and the
population of people involved in coconut tree climbing has been steadily decreasing …

Automatic crop pest detection oriented multiscale feature fusion approach

S Dong, J Du, L Jiao, F Wang, K Liu, Y Teng, R Wang - Insects, 2022 - mdpi.com
Simple Summary Monitoring pests is a labor-intensive and time-consuming task for
agricultural experts. This paper proposes a new approach to classifying and counting …

AM-ResNet: Low-energy-consumption addition-multiplication hybrid ResNet for pest recognition

L Zhang, J Du, S Dong, F Wang, C Xie… - Computers and electronics …, 2022 - Elsevier
Pest recognition technology has rapidly progressed in a short period with the development
of deep convolutional neural networks. However, the vast calculation burden of these …

ESA-Net: An efficient scale-aware network for small crop pest detection

S Dong, Y Teng, L Jiao, J Du, K Liu, R Wang - Expert Systems with …, 2024 - Elsevier
Pest detection aims to locate and classify the pests that may be present in the image, which
plays a crucial role in the early warning of pests linked to the agriculture industry. However …

An improved pig counting algorithm based on YOLOv5 and DeepSORT model

Y Huang, D Xiao, J Liu, Z Tan, K Liu, M Chen - Sensors, 2023 - mdpi.com
Pig counting is an important task in pig sales and breeding supervision. Currently, manual
counting is low-efficiency and high-cost and presents challenges in terms of statistical …

Research on machine vision and deep learning based recognition of cotton seedling aphid infestation level

X Xu, J Shi, Y Chen, Q He, L Liu, T Sun… - Frontiers in Plant …, 2023 - frontiersin.org
Aphis gossypii Glover is a major insect pest in cotton production, which can cause yield
reduction in severe cases. In this paper, we proposed the A. gossypii infestation monitoring …

Td-det: A tiny size dense aphid detection network under in-field environment

Y Teng, R Wang, J Du, Z Huang, Q Zhou, L Jiao - Insects, 2022 - mdpi.com
Simple Summary Accurate recognition and detection of pests is the basis of integrated pest
management (IPM). Manual pest detection is a time-consuming and laborious work. We use …