Deep learning in plant phenological research: A systematic literature review
Climate change represents one of the most critical threats to biodiversity with far-reaching
consequences for species interactions, the functioning of ecosystems, or the assembly of …
consequences for species interactions, the functioning of ecosystems, or the assembly of …
Large-scale date palm tree segmentation from multiscale uav-based and aerial images using deep vision transformers
The reliable and efficient large-scale mapping of date palm trees from remotely sensed data
is crucial for developing palm tree inventories, continuous monitoring, vulnerability …
is crucial for developing palm tree inventories, continuous monitoring, vulnerability …
Estimation of individual tree biomass in natural secondary forests based on als data and worldview-3 imagery
Individual-tree aboveground biomass (AGB) estimation can highlight the spatial distribution
of AGB and is vital for precision forestry. Accurately estimating individual tree AGB is a …
of AGB and is vital for precision forestry. Accurately estimating individual tree AGB is a …
Computer vision and deep learning as tools for leveraging dynamic phenological classification in vegetable crops
The efficiency of agricultural practices depends on the timing of their execution.
Environmental conditions, such as rainfall, and crop-related traits, such as plant phenology …
Environmental conditions, such as rainfall, and crop-related traits, such as plant phenology …
Using convolutional neural networks to efficiently extract immense phenological data from community science images
Community science image libraries offer a massive, but largely untapped, source of
observational data for phenological research. The iNaturalist platform offers a particularly …
observational data for phenological research. The iNaturalist platform offers a particularly …
Deep convolutional neural networks and Swin transformer-based frameworks for individual date palm tree detection and mapping from large-scale UAV images
Timely and reliable mapping of individual date palm trees is essential for their monitoring,
health and risk assessment, pest control, and sustainable management of the date palm …
health and risk assessment, pest control, and sustainable management of the date palm …
The use of computer vision to improve the affinity of rootstock-graft combinations and identify diseases of grape seedlings
M Rudenko, Y Plugatar, V Korzin, A Kazak, N Gallini… - Inventions, 2023 - mdpi.com
This study explores the application of computer vision for enhancing the selection of
rootstock-graft combinations and detecting diseases in grape seedlings. Computer vision …
rootstock-graft combinations and detecting diseases in grape seedlings. Computer vision …
Tree Species Diversity Mapping—Success Stories and Possible Ways Forward
M Immitzer, C Atzberger - Remote Sensing, 2023 - mdpi.com
The special issue “Tree species diversity mapping” presents research focused on the remote
assessment of tree species diversity, using different sensor modalities and platforms. The …
assessment of tree species diversity, using different sensor modalities and platforms. The …
[HTML][HTML] Airborne multispectral imagery and deep learning for biosecurity surveillance of invasive forest pests in urban landscapes
AJ Carnegie, H Eslick, P Barber, M Nagel… - Urban Forestry & Urban …, 2023 - Elsevier
Urban and peri-urban trees in major cities provide a gateway for exotic pests and diseases
(hereafter “pests”) to establish and spread into new countries. Consequently, they can be …
(hereafter “pests”) to establish and spread into new countries. Consequently, they can be …
Early Detection of Myrtle Rust on Pōhutukawa Using Indices Derived from Hyperspectral and Thermal Imagery
Myrtle rust is a very damaging disease, caused by the fungus Austropuccinia psidii, which
has recently arrived in New Zealand and threatens the iconic tree species pōhutukawa …
has recently arrived in New Zealand and threatens the iconic tree species pōhutukawa …