A roadmap for ladybird conservation and recovery
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 …
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
Uncompromised population growth of invasive insects endangers biodiversity,
agribusinesses, and ecosystems. One such example is the invasion of Vespa hornets in …
agribusinesses, and ecosystems. One such example is the invasion of Vespa hornets in …
Detecting common coccinellids found in sorghum using deep learning models
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 …
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 …
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
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 …
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 …
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 …
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
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 …
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 …
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 …
attention in recent years. This review summarizes the current state of research on the …