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 …
Estimation of potato above-ground biomass based on unmanned aerial vehicle red-green-blue images with different texture features and crop height
Obtaining crop above-ground biomass (AGB) information quickly and accurately is
beneficial to farmland production management and the optimization of planting patterns …
beneficial to farmland production management and the optimization of planting patterns …
Improved potato AGB estimates based on UAV RGB and hyperspectral images
Crops' above-ground biomass (AGB) is a crucial indicator that reflects crop health and
predicts crop yield. However, using only optical vegetation indices (VIs) can produce …
predicts crop yield. However, using only optical vegetation indices (VIs) can produce …
Leaf area index estimation under wheat powdery mildew stress by integrating UAV‑based spectral, textural and structural features
Y Liu, L An, N Wang, W Tang, M Liu, G Liu… - … and Electronics in …, 2023 - Elsevier
The infection of powdery mildew changes the internal physiological activity and external
morphology of winter wheat, resulting in damage to crop health. Leaf area index (LAI) is an …
morphology of winter wheat, resulting in damage to crop health. Leaf area index (LAI) is an …
Estimation of the nitrogen content of potato plants based on morphological parameters and visible light vegetation indices
Plant nitrogen content (PNC) is an important indicator to characterize the nitrogen nutrition
status of crops, and quickly and efficiently obtaining the PNC information aids in fertilization …
status of crops, and quickly and efficiently obtaining the PNC information aids in fertilization …
Using an optimized texture index to monitor the nitrogen content of potato plants over multiple growth stages
Plant nitrogen content (PNC) is vital for evaluating crop nitrogen nutrient status and for net
primary productivity. Therefore, rapid and accurate acquisition of crop PNC information can …
primary productivity. Therefore, rapid and accurate acquisition of crop PNC information can …
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 …
Improving potato above ground biomass estimation combining hyperspectral data and harmonic decomposition techniques
Accurately estimating potato above-ground biomass (AGB), which is closely associated with
the growth and yield of crops, carries significant importance for guiding field management …
the growth and yield of crops, carries significant importance for guiding field management …
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 …