Scale matters: Spatial resolution impacts tropical leaf phenology characterized by multi-source satellite remote sensing with an ecological-constrained deep learning …

G Song, J Wang, Y Zhao, D Yang, CKF Lee… - Remote Sensing of …, 2024 - Elsevier
Accurate monitoring of tropical leaf phenology, such as the leaf-on/off status, at both
individual and ecosystem scales is essential for understanding and modelling tropical forest …

Unraveling the drivers and impacts of leaf phenological diversity in a subtropical forest: A fine‐scale analysis using PlanetScope CubeSats

J Wang, Y Li, MM Rahman, B Li, Z Yan, G Song… - New …, 2024 - Wiley Online Library
Leaf phenology variations within plant communities shape community assemblages and
influence ecosystem properties and services. However, questions remain regarding …

Artificial intelligence-based smart agricultural systems for saffron cultivation with integration of Unmanned Aerial Vehicle imagery and deep learning approaches

I Nazeer, S Umer, RK Rout, M Tanveer - Computers and Electrical …, 2024 - Elsevier
This paper presents an integrated Unmanned Aerial Vehicle (UAV) imagery system and
artificial intelligence-based smart farming for saffron cultivation. This work is about …

[HTML][HTML] Algorithms for Plant Monitoring Applications: A Comprehensive Review

GP Colucci, P Battilani, M Camardo Leggieri… - Algorithms, 2025 - mdpi.com
Many sciences exploit algorithms in a large variety of applications. In agronomy, large
amounts of agricultural data are handled by adopting procedures for optimization, clustering …

The co-effect of image resolution and crown size on deep learning for individual tree detection and delineation

Z Hao, L Lin, CJ Post, EA Mikhailova, K Yu… - … Journal of Digital …, 2023 - Taylor & Francis
Individual tree detection and delineation (ITDD) is an important subject in forestry and urban
forestry. This study represents the first research to propose the concept of crown resolution …

A Novel Algorithm to Detect White Flowering Honey Trees in Mixed Forest Ecosystems Using UAV-Based RGB Imaging

AZ Atanasov, BI Evstatiev, VN Vladut, SS Biris - AgriEngineering, 2024 - mdpi.com
Determining the productive potential of flowering vegetation is crucial in obtaining bee
products. The application of a remote sensing approach of terrestrial objects can provide …

Automatic detection of standing dead trees based on improved YOLOv7 from airborne remote sensing imagery

H Zhou, S Wu, Z Xu, H Sun - Frontiers in Plant Science, 2024 - frontiersin.org
Detecting and localizing standing dead trees (SDTs) is crucial for effective forest
management and conservation. Due to challenges posed by mountainous terrain and road …

[HTML][HTML] Unveiling the potential of drone-borne optical imagery in forest ecology: A study on the recognition and map** of two evergreen coniferous species

K Korznikov, D Kislov, T Petrenko, V Dzizyurova… - Remote Sensing, 2023 - mdpi.com
The use of drone-borne imagery for tree recognition holds high potential in forestry and
ecological studies. Accurate species identification and crown delineation are essential for …

[HTML][HTML] Individual Tree Crown Detection and Classification of Live and Dead Trees Using a Mask Region-Based Convolutional Neural Network (Mask R-CNN)

S Yao, Z Hao, CJ Post, EA Mikhailova, L Lin - Forests, 2024 - mdpi.com
Map** the distribution of living and dead trees in forests, particularly in ecologically fragile
areas where forests serve as crucial ecological environments, is essential for assessing …

Modelling forest dynamics using integral projection models (IPMs) and repeat LiDAR

A Rosen, R Battison, C Hernandez, O Spacey… - bioRxiv, 2025 - biorxiv.org
1. Estimating the life histories and population dynamics of trees is important for predicting
how forests respond to climate change and disturbances. To do so, ecologist often use stage …