Current state of hyperspectral remote sensing for early plant disease detection: A review
The development of hyperspectral remote sensing equipment, in recent years, has provided
plant protection professionals with a new mechanism for assessing the phytosanitary state of …
plant protection professionals with a new mechanism for assessing the phytosanitary state of …
Hyperspectral imaging and machine learning in food microbiology: Developments and challenges in detection of bacterial, fungal, and viral contaminants
Hyperspectral imaging (HSI) is a robust and nondestructive method that can detect foreign
particles such as microbial, chemical, and physical contamination in food. This review …
particles such as microbial, chemical, and physical contamination in food. This review …
Wheat yellow rust detection using UAV-based hyperspectral technology
Yellow rust is a worldwide disease that poses a serious threat to the safety of wheat
production. Numerous studies on near-surface hyperspectral remote sensing at the leaf …
production. Numerous studies on near-surface hyperspectral remote sensing at the leaf …
A novel deep learning instance segmentation model for automated marine oil spill detection
The visual similarity of oil slick and other elements, known as look-alike, affects the reliability
of synthetic aperture radar (SAR) images for marine oil spill detection. So far, detection and …
of synthetic aperture radar (SAR) images for marine oil spill detection. So far, detection and …
Hyperspectral sensing of plant diseases: Principle and methods
Pathogen infection has greatly reduced crop production. As the symptoms of diseases
usually appear when the plants are infected severely, rapid identification approaches are …
usually appear when the plants are infected severely, rapid identification approaches are …
[HTML][HTML] Hyperspectral image analysis and machine learning techniques for crop disease detection and identification: A review
Originally, the use of hyperspectral images was for military applications, but their use has
been extended to precision agriculture. In particular, they are used for activities related to …
been extended to precision agriculture. In particular, they are used for activities related to …
Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality
Cereals provide humans with essential nutrients, and its quality assessment has attracted
widespread attention. Infrared (IR) spectroscopy (IRS) and hyperspectral imaging (HSI), as …
widespread attention. Infrared (IR) spectroscopy (IRS) and hyperspectral imaging (HSI), as …
Monitoring wheat powdery mildew based on hyperspectral, thermal infrared, and RGB image data fusion
Z Feng, L Song, J Duan, L He, Y Zhang, Y Wei, W Feng - Sensors, 2021 - mdpi.com
Powdery mildew severely affects wheat growth and yield; therefore, its effective monitoring is
essential for the prevention and control of the disease and global food security. In the …
essential for the prevention and control of the disease and global food security. In the …
Application of artificial intelligence in phenomics
Plant phenomics has been rapidly advancing over the past few years. This advancement is
attributed to the increased innovation and availability of new technologies which can enable …
attributed to the increased innovation and availability of new technologies which can enable …
A detection of tomato plant diseases using deep learning MNDLNN classifier
In the world, tomato is a significant economic crop. However, it is easily affected by various
diseases. Misprediction of disease is caused since many prevailing methodologies focused …
diseases. Misprediction of disease is caused since many prevailing methodologies focused …