A roadmap for ladybird conservation and recovery

AO Soares, D Haelewaters, OMCC Ameixa… - Conservation …, 2023 - Wiley Online Library
Abstract Ladybirds (Coleoptera: Coccinellidae) provide services that are critical to food
production, and they fulfill an ecological role as a food source for predators. The richness …

AI in apiculture: a novel framework for recognition of invasive insects under unconstrained flying conditions for smart beehives

A Nasir, MO Ullah, MH Yousaf - Engineering Applications of Artificial …, 2023 - Elsevier
Uncompromised population growth of invasive insects endangers biodiversity,
agribusinesses, and ecosystems. One such example is the invasion of Vespa hornets in …

Detecting common coccinellids found in sorghum using deep learning models

C Wang, I Grijalva, D Caragea, B McCornack - Scientific Reports, 2023 - nature.com
Increased global production of sorghum has the potential to meet many of the demands of a
growing human population. Develo** automation technologies for field scouting is crucial …

[HTML][HTML] Intelligent inspection probe for monitoring bark beetle activities using embedded IoT real-time object detection

M Novak, P Doležal, O Budík, L Ptáček, J Geyer… - … Science and Technology …, 2024 - Elsevier
Rapid detection and identification of the extent of spruce bark beetle infestation in the field is
a necessity for researchers, forest rangers, and tree protection agencies. This paper …

Edge computing for vision-based, urban-insects traps in the context of smart cities

I Saradopoulos, I Potamitis, S Ntalampiras… - Sensors, 2022 - mdpi.com
Our aim is to promote the widespread use of electronic insect traps that report captured
pests to a human-controlled agency. This work reports on edge-computing as applied to …

An automated pipeline for supervised classification of petal color from citizen science photographs

RA Perez‐Udell, AT Udell… - Applications in Plant …, 2023 - Wiley Online Library
Premise Petal color is an ecologically important trait, and uncovering color variation over a
geographic range, particularly in species with large distributions and/or short bloom times …

Artificial intelligence correctly classifies developmental stages of monarch caterpillars enabling better conservation through the use of community science photographs

N Neupane, R Goswami, K Harrison, K Oberhauser… - Scientific Reports, 2024 - nature.com
Rapid technological advances and growing participation from amateur naturalists have
made countless images of insects in their natural habitats available on global web portals …

Artificial intelligence versus natural selection: Using computer vision techniques to classify bees and bee mimics

T Bhuiyan, RM Carney, S Chellappan - Iscience, 2022 - cell.com
Many groups of stingless insects have independently evolved mimicry of bees to fool would-
be predators. To investigate this mimicry, we trained artificial intelligence (AI) algorithms …

Precision Corn Pest Detection: Two-Step Transfer Learning for Beetles (Coleoptera) with MobileNet-SSD

E Maican, A Iosif, S Maican - Agriculture, 2023 - mdpi.com
Using neural networks on low-power mobile systems can aid in controlling pests while
preserving beneficial species for crops. However, low-power devices require simplified …

Artificial neuronal networks are revolutionizing entomological research

M Hartbauer - Journal of Applied Entomology, 2024 - Wiley Online Library
The application of artificial intelligence (AI) in entomological research has gained significant
attention in recent years. This review summarizes the current state of research on the …