[HTML][HTML] An overview of recent advancements in hyperspectral imaging in the egg and hatchery industry
Conventional egg quality analysis and compliance monitoring methods have inherent
limitations, necessitating non-destructive techniques in the modern egg industry …
limitations, necessitating non-destructive techniques in the modern egg industry …
Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data
The accurate estimation of above ground biomass (AGB) is valuable in gras** the status
of potato growth and assessing yield. Spectral analysis techniques play an important role in …
of potato growth and assessing yield. Spectral analysis techniques play an important role in …
Evaluating machine learning approaches for aboveground biomass prediction in fragmented high-elevated forests using multi-sensor satellite data
Accurate aboveground biomass (AGB) estimations over large areas are essential for
assessing carbon stocks and forest resources. This study evaluated machine learning …
assessing carbon stocks and forest resources. This study evaluated machine learning …
Improved estimation of canopy water status in cotton using vegetation indices along with textural information from UAV-based multispectral images
Precise and timely estimation of crop canopy water status is of great importance for precision
irrigation. The unmanned aerial vehicle (UAV)-based remote sensing technology has …
irrigation. The unmanned aerial vehicle (UAV)-based remote sensing technology has …
Estimating potato above-ground biomass based on vegetation indices and texture features constructed from sensitive bands of UAV hyperspectral imagery
Above-ground biomass (AGB) estimation is critical for monitoring crop growth and assessing
yields. Unmanned aerial vehicle (UAV) optical remote sensing technology offers robust …
yields. Unmanned aerial vehicle (UAV) optical remote sensing technology offers robust …
Crop canopy volume weighted by color parameters from UAV-based RGB imagery to estimate above-ground biomass of potatoes
Current techniques to estimate crop aboveground biomass (AGB) across the multiple growth
stages mainly used optical remote-sensing techniques. However, this technology was …
stages mainly used optical remote-sensing techniques. However, this technology was …
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 …
[HTML][HTML] Study on the Estimation of Leaf Area Index in Rice Based on UAV RGB and Multispectral Data
Y Zhang, Y Jiang, B Xu, G Yang, H Feng, X Yang… - Remote Sensing, 2024 - mdpi.com
Leaf area index (LAI) is a key variable for monitoring crop growth. Compared with traditional
measurement methods, unmanned aerial vehicle (UAV) remote sensing offers a cost …
measurement methods, unmanned aerial vehicle (UAV) remote sensing offers a cost …
Pretrained Deep Learning Networks and Multispectral Imagery Enhance Maize LCC, FVC, and Maturity Estimation
J Hu, H Feng, Q Wang, J Shen, J Wang, Y Liu, H Feng… - Remote Sensing, 2024 - mdpi.com
Crop leaf chlorophyll content (LCC) and fractional vegetation cover (FVC) are crucial
indicators for assessing crop health, growth development, and maturity. In contrast to the …
indicators for assessing crop health, growth development, and maturity. In contrast to the …
An efficient and precise dynamic neighbor graph network for crop map** using unmanned aerial vehicle hyperspectral imagery
T Zhang, C Xuan, Y Ma, Z Tang, X Gao - Computers and Electronics in …, 2025 - Elsevier
Accurate and timely access to the spatial distribution of crops is essential for agricultural
management, crop growth monitoring, and agricultural decision support. Unmanned aerial …
management, crop growth monitoring, and agricultural decision support. Unmanned aerial …