Application of deep learning in food: a review
L Zhou, C Zhang, F Liu, Z Qiu… - Comprehensive reviews in …, 2019 - Wiley Online Library
Deep learning has been proved to be an advanced technology for big data analysis with a
large number of successful cases in image processing, speech recognition, object detection …
large number of successful cases in image processing, speech recognition, object detection …
Internet of Things in agriculture, recent advances and future challenges
Highlights•IoT and Cloud solutions introduced in agriculture are presented.•Widely used
sensors in agricultural deployments are surveyed.•The potential of interoperable software …
sensors in agricultural deployments are surveyed.•The potential of interoperable software …
Emerging non-destructive imaging techniques for fruit damage detection: Image processing and analysis
Background Fruits are vulnerable to mechanical damages and physiological disorders
caused by the static and dynamic forces acting on them during transportation and abiotic …
caused by the static and dynamic forces acting on them during transportation and abiotic …
Separation, characterization and identification of microplastics and nanoplastics in the environment
Microplastics (MPs) have globally been detected in aquatic and marine environments, which
has raised scientific interests and public health concerns during the past decade. MPs are …
has raised scientific interests and public health concerns during the past decade. MPs are …
[HTML][HTML] Current advances in imaging spectroscopy and its state-of-the-art applications
Imaging spectroscopy integrates traditional computer vision and spectroscopy into a single
system and has gained widespread acceptance as a non-destructive scientific instrument for …
system and has gained widespread acceptance as a non-destructive scientific instrument for …
[HTML][HTML] Novel extraction, rapid assessment and bioavailability improvement of quercetin: A review
Quercetin (QUR) have got the attention of scientific society frequently due to their wide range
of potential applications. QUR has been the focal point for research in various fields …
of potential applications. QUR has been the focal point for research in various fields …
New approach for rapid estimation of leaf nitrogen, phosphorus, and potassium contents in apple-trees using Vis/NIR spectroscopy based on wavelength selection …
Timely and rapid monitoring of apple trees nutrition status is vital for accurate management
of nutrient fertilizers in order to improve the yield and quality, as well as to reduce the risk of …
of nutrient fertilizers in order to improve the yield and quality, as well as to reduce the risk of …
Hyperspectral image classification using CNN: Application to industrial food packaging
During food tray packaging, some contamination may exist due to the presence of undesired
objects. It is essential to detect anomalies during the packaging process in order to discard …
objects. It is essential to detect anomalies during the packaging process in order to discard …
MATNet: A combining multi-attention and transformer network for hyperspectral image classification
Hyperspectral image (HSI) has rich spatial–spectral information, high spectral correlation,
and large redundancy between information. Due to the sparse background distribution of …
and large redundancy between information. Due to the sparse background distribution of …
Classifying Wheat Hyperspectral Pixels of Healthy Heads and Fusarium Head Blight Disease Using a Deep Neural Network in the Wild Field
X **, L Jie, S Wang, HJ Qi, SW Li - Remote Sensing, 2018 - mdpi.com
Classification of healthy and diseased wheat heads in a rapid and non-destructive manner
for the early diagnosis of Fusarium head blight disease research is difficult. Our work applies …
for the early diagnosis of Fusarium head blight disease research is difficult. Our work applies …