[HTML][HTML] Detecting and classifying pests in crops using proximal images and machine learning: A review

JGA Barbedo - Ai, 2020 - mdpi.com
Pest management is among the most important activities in a farm. Monitoring all different
species visually may not be effective, especially in large properties. Accordingly …

Biology, Ecology, and Management of the Potato Psyllid, Bactericera cockerelli (Hemiptera: Triozidae), and Zebra Chip Disease in Potato

EJ Wenninger, A Rashed - Annual Review of Entomology, 2024 - annualreviews.org
The potato psyllid, Bactericera cockerelli (Šulc)(Hemiptera: Triozidae), transmits the
pathogen “Candidatus liberibacter solanacearum”(Lso), the putative causal agent of zebra …

Using a novel convolutional neural network for plant pests detection and disease classification

W Shafik, A Tufail, CDS Liyanage… - Journal of the …, 2023 - Wiley Online Library
Background Early plant diseases and pests identification reduces social, economic, and
environmental deficiencies entailing toxic chemical utilization on agricultural farms, thus …

Proximal detecting invertebrate pests on crops using a deep residual convolutional neural network trained by virtual images

H Liu, JS Chahl - Artificial intelligence in agriculture, 2021 - Elsevier
Detecting invertebrate pests on crops at early stages is essential for pest management.
Traditionally, traps were used to sample pests and then human experts undertook …

Influence of image quality on the identification of psyllids using convolutional neural networks

JGA Barbedo, GB Castro - Biosystems Engineering, 2019 - Elsevier
Highlights•CNNs were trained for identification of Psyllids in traps.•The effects of using
images captured with scanners and smartphones were investigated.•Experiments employed …

A Novel Interaction of Nesidiocoris tenuis (Hemiptera: Miridae) as a Biological Control Agent of Bactericera cockerelli (Hemiptera: Triozidae) in Potato

G Esparza-Diaz, RT Villanueva, IE Badillo-Vargas - Insects, 2024 - mdpi.com
Simple Summary The tomato bug is a generalist predator commonly used to control insect
pests. This exotic mirid was found in 2012 in South Texas and has been established in this …

Psyllid Detector: A Web-Based Application to Automate Insect Detection Utilizing Image Processing and Deep Learning

VAG da Cunha, DA Pullock, M Ali… - Applied Engineering …, 2024 - elibrary.asabe.org
Highlights An AI-enabled web application was developed to classify insects on sticky traps.
The AI models were trained on images exposed to real environmental conditions …

Value‐adding in biosecurity surveillance and monitoring: Testing colour and non‐target semiochemical lures on Psylloidea and Pentatomoidea

ML Moir, L Croeser, D Telfer, C Fenner… - Journal of Applied …, 2022 - Wiley Online Library
Cost efficiency in biosecurity surveillance is vital, and the ability to survey multiple pest
species using just one trap is, therefore, highly appealing. The Psylloidea, or plantlice …

[HTML][HTML] A study on CNN-based detection of psyllids in sticky traps using multiple image data sources

JGA Barbedo, GB Castro - AI, 2020 - mdpi.com
Deep learning architectures like Convolutional Neural Networks (CNNs) are quickly
becoming the standard for detecting and counting objects in digital images. However, most …

The tomato potato psyllid, Bactericera cockerelli (Šulc, 1909) (Hemiptera: Triozidae): a review of the threat of the psyllid to Australian solanaceous crop industries …

PW Walker, GR Allen, RS Tegg, LR White… - Austral …, 2015 - Wiley Online Library
The tomato potato psyllid, B actericera cockerelli (Š ulc, 1909), is a major biosecurity threat
to A ustralian solanaceous crop industries. Native to N orth and C entral A merica, B …