UAV-based forest health monitoring: A systematic review

S Ecke, J Dempewolf, J Frey, A Schwaller, E Endres… - Remote Sensing, 2022 - mdpi.com
In recent years, technological advances have led to the increasing use of unmanned aerial
vehicles (UAVs) for forestry applications. One emerging field for drone application is forest …

A review on the use of unmanned aerial vehicles and imaging sensors for monitoring and assessing plant stresses

JGA Barbedo - Drones, 2019 - mdpi.com
Unmanned aerial vehicles (UAVs) are becoming a valuable tool to collect data in a variety of
contexts. Their use in agriculture is particularly suitable, as those areas are often vast …

[HTML][HTML] Predicting student's dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization

J Niyogisubizo, L Liao, E Nziyumva… - … and Education: Artificial …, 2022 - Elsevier
Student dropout is a serious problem globally. It affects not only the individual who drops out
but also the former school, family, and society in general. With the current development of …

The estimation of crop emergence in potatoes by UAV RGB imagery

B Li, X Xu, J Han, L Zhang, C Bian, L Jin, J Liu - Plant Methods, 2019 - Springer
Background Crop emergence and canopy cover are important physiological traits for potato
(Solanum tuberosum L.) cultivar evaluation and nutrients management. They play important …

Evaluation of coordinated development of forestry management efficiency and forest ecological security: A spatiotemporal empirical study based on China's provinces

N Chen, F Qin, Y Zhai, H Cao, R Zhang… - Journal of Cleaner …, 2020 - Elsevier
Improving efficiency of forestry management, especially to meet demand for forest products
while still considering environmental concerns, is a critical challenge in China. In this study …

Mapping the flowering of an invasive plant using unmanned aerial vehicles: is there potential for biocontrol monitoring?

NC De Sa, P Castro, S Carvalho, E Marchante… - Frontiers in plant …, 2018 - frontiersin.org
Invasion by alien species is a worldwide phenomenon with negative consequences at both
natural and production areas. Acacia longifolia is an invasive shrub/small tree well known …

Combining object-based machine learning with long-term time-series analysis for informal settlement identification

A Fallatah, S Jones, L Wallace, D Mitchell - Remote Sensing, 2022 - mdpi.com
Informal settlement mapping is essential for planning, as well as resource and utility
management. Developing efficient ways of determining the properties of informal …

A coarse-to-fine network for aphid recognition and detection in the field

R Li, R Wang, C Xie, L Liu, J Zhang, F Wang… - Biosystems …, 2019 - Elsevier
Highlights•Domain specific dataset for aphid recognition and detection in the field.•This
dataset may have high application value in practical aphid monitoring.•Coarse-to-fine …

Assessment of Antarctic moss health from multi-sensor UAS imagery with Random Forest Modelling

D Turner, A Lucieer, Z Malenovský, D King… - International journal of …, 2018 - Elsevier
Moss beds are one of very few terrestrial vegetation types that can be found on the Antarctic
continent and as such mapping their extent and monitoring their health is important to …

Field pest monitoring and forecasting system for pest control

C Liu, Z Zhai, R Zhang, J Bai, M Zhang - Frontiers in Plant Science, 2022 - frontiersin.org
Insect pest is an essential factor affecting crop yield, and the effect of pest control depends
on the timeliness and accuracy of pest forecasting. The traditional method forecasts pest …