[HTML][HTML] Machine learning and remote sensing integration for leveraging urban sustainability: A review and framework
Climate change and rapid urbanisation exacerbated multiple urban issues threatening
urban sustainability. Numerous studies integrated machine learning and remote sensing to …
urban sustainability. Numerous studies integrated machine learning and remote sensing to …
Review of ground and aerial methods for vegetation cover fraction (fCover) and related quantities estimation: definitions, advances, challenges, and future …
Vegetation cover fraction (fCover) and related quantities are basic yet critical vegetation
structure variables in various disciplines and applications. Ground-and aerial-based …
structure variables in various disciplines and applications. Ground-and aerial-based …
[HTML][HTML] Single-plant broccoli growth monitoring using deep learning with UAV imagery
Single-plant growth monitoring aids precision agricultural decision-making to reduce the
costs related to pesticides, fertilizers, and labor. This study integrated visible/multi-spectral …
costs related to pesticides, fertilizers, and labor. This study integrated visible/multi-spectral …
[HTML][HTML] A Comprehensive Survey of Drones for Turfgrass Monitoring
Drones are being used for agriculture monitoring in many different crops. Nevertheless, the
use of drones for green areas' evaluation is limited, and information is scattered. In this …
use of drones for green areas' evaluation is limited, and information is scattered. In this …
Method for Monitoring Wheat Growth Status and Estimating Yield Based on UAV Multispectral Remote Sensing
An efficient and accurate estimation of wheat growth and yield is important for wheat
assessment and field management. To improve the accuracy and stability of wheat growth …
assessment and field management. To improve the accuracy and stability of wheat growth …
Unmanned aerial vehicle based tree canopy characteristics measurement for precision spray applications
The critical components for applying the correct amount of agrochemicals are fruit tree
characteristics such as canopy height, canopy volume, and canopy coverage. An unmanned …
characteristics such as canopy height, canopy volume, and canopy coverage. An unmanned …
Sun/shade separation in optical and thermal UAV images for assessing the impact of agricultural practices
C Marais-Sicre, S Queguiner, V Bustillo, L Lesage… - Remote Sensing, 2024 - mdpi.com
Unmanned aerial vehicles (UAVs) provide images at decametric spatial resolutions. Their
flexibility, efficiency, and low cost make it possible to apply UAV remote sensing to …
flexibility, efficiency, and low cost make it possible to apply UAV remote sensing to …
SoybeanTracer: An In-Field scene property-based framework for high-throughput soybean canopy coverage extraction and evaluation
T Wan, X **, Y Rao, J Li, T Wang, Z Jiang… - … and Electronics in …, 2024 - Elsevier
Soybean is a crucial plant-based protein and vegetable oil source for the global population
and a significant cereal-oil dual-purpose crop. Extracting soybean canopy coverage …
and a significant cereal-oil dual-purpose crop. Extracting soybean canopy coverage …
[HTML][HTML] Development of a low-cost automated greenhouse imaging system with machine learning-based processing for evaluating genetic performance of drought …
Extreme weather events due to climate change threaten sustainable crop production and
quality, and develo** crop varieties with resilient yield and quality traits through breeding …
quality, and develo** crop varieties with resilient yield and quality traits through breeding …
Assessing unmanned aerial vehicle‐based imagery for breeding applications in St. Augustinegrass under drought and non‐drought conditions
The use of imagery collected from small unmanned aerial vehicles (UAVs) in turfgrass
breeding has rapidly increased, as has the demand to develop drought‐resistant cultivars …
breeding has rapidly increased, as has the demand to develop drought‐resistant cultivars …