[HTML][HTML] Computer vision and deep learning in insects for food and feed production: A review
Commercial insect production is a relatively new field that has gained traction in recent
years due to its potential as a sustainable source of protein. Despite its promising future, the …
years due to its potential as a sustainable source of protein. Despite its promising future, the …
Eyes on nature: Embedded vision cameras for terrestrial biodiversity monitoring
We need comprehensive information to manage and protect biodiversity in the face of global
environmental challenges, and artificial intelligence is required to generate that information …
environmental challenges, and artificial intelligence is required to generate that information …
A comprehensive analysis of blockchain applications for securing computer vision systems
Blockchain (BC) and Computer Vision (CV) are the two emerging fields with the potential to
transform various sectors. BC can offer decentralized and secure data storage, while CV …
transform various sectors. BC can offer decentralized and secure data storage, while CV …
Insect detect: An open-source DIY camera trap for automated insect monitoring
M Sittinger, J Uhler, M Pink, A Herz - Plos one, 2024 - journals.plos.org
Insect monitoring is essential to design effective conservation strategies, which are
indispensable to mitigate worldwide declines and biodiversity loss. For this purpose …
indispensable to mitigate worldwide declines and biodiversity loss. For this purpose …
Insect Classification using Deep Convolutional Neural Networks and Transfer Learning On MobileNetV3 Model
Insect classification is a foundational tool in insect research, providing a basis for
understanding insect diversity, ecology, behaviour, and impacts on ecosystems and human …
understanding insect diversity, ecology, behaviour, and impacts on ecosystems and human …
Fine-grained image classification of microscopic insect pest species: Western flower thrips and plague thrips
Accurate identification of insect pests is essential in crop management as they are one of the
primary causes of yield losses. However, differences between insect species demand …
primary causes of yield losses. However, differences between insect species demand …
YOLO object detection models can locate and classify broad groups of flower-visiting arthropods in images
Develoment of image recognition AI algorithms for flower-visiting arthropods has the
potential to revolutionize the way we monitor pollinators. Ecologists need light-weight …
potential to revolutionize the way we monitor pollinators. Ecologists need light-weight …
A comprehensive analysis of blockchain applications for securing computer vision systems
Blockchain (BC) and Computer Vision (CV) are the two emerging fields with the potential to
transform various sectors. The ability of BC can help in offering decentralized and secure …
transform various sectors. The ability of BC can help in offering decentralized and secure …
[HTML][HTML] Spatio-temporal variation in arthropod-plant interactions: A direct comparison of eDNA metabarcoding of tree crop flowers and digital video recordings
Collating data about natural capital and the ecosystem services that underpin agricultural
productivity, such as the activity of beneficial (eg, pollinators) and antagonistic (eg, plant …
productivity, such as the activity of beneficial (eg, pollinators) and antagonistic (eg, plant …
The 24-Type Tai Chi Classic Motion System Based on Kinect Motion Capture in Mobile Edge Computing
S Cao, X Huang - IEEE Access, 2024 - ieeexplore.ieee.org
This study aims to develop an efficient 24-type Tai Chi motion recognition system by using
Kinect and mobile edge computing (MEC) technology, to improve the teaching and training …
Kinect and mobile edge computing (MEC) technology, to improve the teaching and training …