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Estimating potato above-ground biomass by using integrated unmanned aerial system-based optical, structural, and textural canopy measurements
Rapid and non-destructive potato above ground biomass (AGB) monitoring is a crucial step
in the development of smart agriculture because AGB is closely related to crop growth, yield …
in the development of smart agriculture because AGB is closely related to crop growth, yield …
[HTML][HTML] Advances in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges
For many applications, raw satellite observations need to be converted to high-level
products of various essential environmental variables. While numerous products are …
products of various essential environmental variables. While numerous products are …
Estimating yield-contributing physiological parameters of cotton using UAV-based imagery
Lint yield in cotton is governed by light intercepted by the canopy (IPAR), radiation use
efficiency (RUE), and harvest index (HI). However, the conventional methods of measuring …
efficiency (RUE), and harvest index (HI). However, the conventional methods of measuring …
Estimation of wheat plant height and biomass by combining UAV imagery and elevation data
D Wang, R Li, B Zhu, T Liu, C Sun, W Guo - Agriculture, 2022 - mdpi.com
Aboveground biomass (AGB) is an important basis for wheat yield formation. It is useful to
timely collect the AGB data to monitor wheat growth and to build high-yielding wheat groups …
timely collect the AGB data to monitor wheat growth and to build high-yielding wheat groups …
Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods
A reliable method to estimate the leaf area index (LAI) in a field environment is crucial for
precise monitoring of crop-growth status. Currently, the crop canopy information has been …
precise monitoring of crop-growth status. Currently, the crop canopy information has been …
Advancements in UAV Remote Sensing for Agricultural Yield Estimation: A Systematic Comprehensive Review of Platforms, Sensors, and Data Analytics
Traditional yield estimation approaches are quite tedious, time-consuming, and labor-
intensive. Unmanned aerial vehicles (UAVs) present an exciting opportunity to estimate crop …
intensive. Unmanned aerial vehicles (UAVs) present an exciting opportunity to estimate crop …
Comparison of UAV-based LiDAR and digital aerial photogrammetry for measuring crown-level canopy height in the urban environment
Spatial information on urban forest canopy height (FCH) is fundamental for urban forest
monitoring and assisting urban planning and management. Traditionally, ground-based …
monitoring and assisting urban planning and management. Traditionally, ground-based …
Wheat yield prediction based on unmanned aerial vehicles-collected red–green–blue imagery
Unmanned aerial vehicles-collected (UAVs) digital red–green–blue (RGB) images provided
a cost-effective method for precision agriculture applications regarding yield prediction. This …
a cost-effective method for precision agriculture applications regarding yield prediction. This …
Phenotypic traits estimation and preliminary yield assessment in different phenophases of wheat breeding experiment based on UAV multispectral images
The utility of unmanned aerial vehicles (UAV) imagery in retrieving phenotypic data to
support plant breeding research has been a topic of increasing interest in recent years. The …
support plant breeding research has been a topic of increasing interest in recent years. The …