A comprehensive review of recent research trends on unmanned aerial vehicles (uavs)

K Telli, O Kraa, Y Himeur, A Ouamane, M Boumehraz… - Systems, 2023 - mdpi.com
The growing interest in unmanned aerial vehicles (UAVs) from both the scientific and
industrial sectors has attracted a wave of new researchers and substantial investments in …

Application of reflectance indices for remote sensing of plants and revealing actions of stressors

A Kior, V Sukhov, E Sukhova - Photonics, 2021 - mdpi.com
Environmental conditions are very changeable; fluctuations in temperature, precipitation,
illumination intensity, and other factors can decrease a plant productivity and crop. The …

Pollinator nutrition and its role in merging the dual objectives of pollinator health and optimal crop production

J Jones, R Rader - … Transactions of the Royal Society B, 2022 - royalsocietypublishing.org
Bee and non-bee insect pollinators play an integral role in the quantity and quality of
production for many food crops, yet there is growing evidence that nutritional challenges to …

Nitrogen addition changes the canopy biological characteristics of dominant tree species in an evergreen broad-leaved forest

N Liu, F Liu, Z Sun, Z Wang, L Yang - Science of the Total Environment, 2023 - Elsevier
Many studies have focused on the impact of nitrogen deposition on plants, but due to
technical limitations, research on the responses of forest canopy to manipulated nitrogen …

Landscape connectivity for the invisibles

C Mony, L Uroy, F Khalfallah, N Haddad… - …, 2022 - Wiley Online Library
Because of land use changes, a worldwide decrease in biodiversity is underway, mostly
driven by habitat degradation and fragmentation. Increasing landscape connectivity (ie the …

Applications of unoccupied aerial systems (UAS) in landscape ecology: a review of recent research, challenges and emerging opportunities

ML Villarreal, TBB Bishop, TT Sankey, WK Smith… - Landscape …, 2025 - Springer
Context Unoccupied aerial systems/vehicles (UAS/UAV, aka drones) have become an
increasingly popular tool for ecological research. But much of the recent research is …

[HTML][HTML] A drone-powered deep learning methodology for high precision remote sensing in California's coastal shrubs

J Detka, H Coyle, M Gomez, GS Gilbert - Drones, 2023 - mdpi.com
Wildland conservation efforts require accurate maps of plant species distribution across
large spatial scales. High-resolution species map** is difficult in diverse, dense plant …

[HTML][HTML] Harnessing virtual fencing for more effective and adaptive agri-environment schemes to conserve grassland biodiversity

F Wätzold, F Jauker, M Komainda, O Schöttker… - Biological …, 2024 - Elsevier
Virtual fencing (VF) is an emerging technology that creates virtual boundaries for livestock.
Collars equipped with positioning systems, such as GPS, emit acoustic warning signals if an …

[HTML][HTML] Automatic classification of cowpea leaves using deep convolutional neural network

V Choudhary, P Guha, G Pau, RK Dhanaraj… - Smart Agricultural …, 2023 - Elsevier
This paper uses a binary classification to discriminate cowpea leaves from other/weed
leaves. Cowpea is one of the nutritional crops, but research on cowpea is negligible …

Exploring Radar Micro-Doppler Signatures for Recognition of Drone Types

J Yan, H Hu, J Gong, D Kong, D Li - Drones, 2023 - mdpi.com
In this study, we examine the use of micro-Doppler signals produced by different blades (ie,
puller and lifting blades) to aid in radar-based target recognition of small drones. We …