User profiles for Davoud Ashourloo
 | Davoud AshourlooThe University of Queensland Verified email at uq.edu.au Cited by 1392 |
[HTML][HTML] Developing Two Spectral Disease Indices for Detection of Wheat Leaf Rust (Pucciniatriticina)
Spectral vegetation indices (SVIs) have been widely used to detect different plant diseases.
Wheat leaf rust manifests itself as an early symptom with the leaves turning yellow and …
Wheat leaf rust manifests itself as an early symptom with the leaves turning yellow and …
Machine learning regression techniques for the silage maize yield prediction using time-series images of Landsat 8 OLI
Machine learning (ML) techniques have been utilized for the crop monitoring and yield
estimation/prediction using remotely sensed data. However, these methods have been …
estimation/prediction using remotely sensed data. However, these methods have been …
A new phenology-based method for mapping wheat and barley using time-series of Sentinel-2 images
In recent years, various techniques have been developed to generate crop-type maps based
on remote sensing data. Wheat and barley are two major cereal crops cultivated as the first …
on remote sensing data. Wheat and barley are two major cereal crops cultivated as the first …
Automatic canola mapping using time series of sentinel 2 images
Different techniques utilized for mapping various crops are mainly based on using training
dataset. But, due to difficulties of access to a well-represented training data, development of …
dataset. But, due to difficulties of access to a well-represented training data, development of …
A novel method for automatic potato mapping using time series of Sentinel-2 images
Crop maps produced by remote sensing data play an important role in agricultural crop
studies. Most of the crop mapping methods rely on field samples to train a model, which is a …
studies. Most of the crop mapping methods rely on field samples to train a model, which is a …
An investigation into machine learning regression techniques for the leaf rust disease detection using hyperspectral measurement
The complex impacts of disease stages and disease symptoms on spectral characteristics
of the plants lead to limitation in disease severity detection using the spectral vegetation …
of the plants lead to limitation in disease severity detection using the spectral vegetation …
[HTML][HTML] Evaluating the effect of different wheat rust disease symptoms on vegetation indices using hyperspectral measurements
Spectral Vegetation Indices (SVIs) have been widely used to indirectly detect plant diseases.
The aim of this research is to evaluate the effect of different disease symptoms on SVIs and …
The aim of this research is to evaluate the effect of different disease symptoms on SVIs and …
Wheat leaf rust detection at canopy scale under different LAI levels using machine learning techniques
Accurate diagnosis of wheat leaf rust is of high interest for precision farming. Spectral data
have been increasingly employed to detect this disease at leaf or canopy scales; however, …
have been increasingly employed to detect this disease at leaf or canopy scales; however, …
Developing an index for detection and identification of disease stages
Spectral data have been widely used to estimate the disease severity (DS) levels of different
plants. However, such data have not been evaluated to estimate the disease stages of the …
plants. However, such data have not been evaluated to estimate the disease stages of the …
Soil moisture estimation using combined SAR and optical imagery: Application of seasonal machine learning algorithms
Soil moisture plays a crucial role in various fields of geoscience, including agriculture,
hydrology, meteorology, and climatology. This study has proposed a seasonal approach to …
hydrology, meteorology, and climatology. This study has proposed a seasonal approach to …