The leaf area index (LAI) is a key dynamic parameter in Vertical Greening Systems (VGS). It
quantifies the total amount of leaf area in the canopy and largely determines the extent of co …

Reducing risk from pesticide applications has been gaining serious attention in the last few
decades due to the significant damage to human health, environment, and ecosystems …

As an important indicator reflecting plant growth and canopy structure, accurate and rapid
monitoring of the leaf area index (LAI) is very important for modern precision agriculture. The …

Three-dimensional (3D) laser point cloud technology is an important research method in the
field of agricultural remote sensing research. The collection and processing technology of …

In recent years, variable-rate spraying technology has been proposed to solve the pesticide
waste and environmental pollution problems caused by traditional spraying methods …

The precise and rapid estimation of leaf area index (LAI) is crucial for quantitative ecological
monitoring and assessment, as it serves as an important ecological indicator of plant growth …

The negative climate change induced by rapid urbanization has become a global
environmental issue. Numerous studies have been devoted to microclimate regulation …

We performed a comparative analysis of the prediction accuracy of machine learning
methods and ordinary Kriging (OK) hybrid methods for forest volume models based on multi …

As a fundamental process of three-dimensional lidar point cloud data (3D LPCD)
processing, numerous registration methods are time consuming and easily fall into local …

The leaf area index (LAI) is a crucial indicator for quantifying forest productivity and
community ecological processes. Satellite remote sensing can achieve large-scale LAI …