Investigation on data fusion of multisource spectral data for rice leaf diseases identification using machine learning methods
L Feng, B Wu, S Zhu, J Wang, Z Su, F Liu… - Frontiers in plant …, 2020 - frontiersin.org
Rice diseases are major threats to rice yield and quality. Rapid and accurate detection of
rice diseases is of great importance for precise disease prevention and treatment. Various …
rice diseases is of great importance for precise disease prevention and treatment. Various …
Hyperspectral imaging combined with deep transfer learning for rice disease detection
L Feng, B Wu, Y He, C Zhang - Frontiers in Plant Science, 2021 - frontiersin.org
Various rice diseases threaten the growth of rice. It is of great importance to achieve the
rapid and accurate detection of rice diseases for precise disease prevention and control …
rapid and accurate detection of rice diseases for precise disease prevention and control …
Rice-fusion: A multimodality data fusion framework for rice disease diagnosis
Rice leaf infections are a common hazard to rice production, affecting many farmers all over
the world. Early detection and treatment of rice leaf infection are critical for promoting healthy …
the world. Early detection and treatment of rice leaf infection are critical for promoting healthy …
Remote sensing monitoring of rice diseases and pests from different data sources: A review
Rice is an important food crop in China, and diseases and pests are the main factors
threatening its safety, ecology, and efficient production. The development of remote sensing …
threatening its safety, ecology, and efficient production. The development of remote sensing …
Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection
Rice blast is considered as the most destructive disease that threatens global rice
production and causes severe economic losses worldwide. A detection of rice blast infection …
production and causes severe economic losses worldwide. A detection of rice blast infection …
[HTML][HTML] End-to-end fusion of hyperspectral and chlorophyll fluorescence imaging to identify rice stresses
C Zhang, L Zhou, Q Xiao, X Bai, B Wu, N Wu… - Plant …, 2022 - spj.science.org
Herbicides and heavy metals are hazardous substances of environmental pollution,
resulting in plant stress and harming humans and animals. Identification of stress types can …
resulting in plant stress and harming humans and animals. Identification of stress types can …
Hyperspectral discrimination of foliar biotic damages in rice using principal component analysis and probabilistic neural network
ZY Liu, JG Qi, NN Wang, ZR Zhu, J Luo, LJ Liu… - Precision …, 2018 - Springer
Assessment of crop health status in real time could provide reliable and useful information
for making effective and efficient management decisions regarding the appropriate time and …
for making effective and efficient management decisions regarding the appropriate time and …
Detecting asymptomatic infections of rice bacterial leaf blight using hyperspectral imaging and 3-dimensional convolutional neural network with spectral dilated …
Y Cao, P Yuan, H Xu, JF Martínez-Ortega… - Frontiers in Plant …, 2022 - frontiersin.org
Rice is one of the most important food crops for human beings. Its total production ranks third
in the grain crop output. Bacterial Leaf Blight (BLB), as one of the three major diseases of …
in the grain crop output. Bacterial Leaf Blight (BLB), as one of the three major diseases of …
Rice leaf blast classification method based on fused features and one-dimensional deep convolutional neural network
S Feng, Y Cao, T Xu, F Yu, D Zhao, G Zhang - Remote Sensing, 2021 - mdpi.com
Rice leaf blast, which is seriously affecting the yield and quality of rice around the world, is a
fungal disease that easily develops under high temperature and humidity conditions …
fungal disease that easily develops under high temperature and humidity conditions …
Hyperspectral imaging for accurate determination of rice variety using a deep learning network with multi-feature fusion
S Weng, P Tang, H Yuan, B Guo, S Yu, L Huang… - … Acta Part A: Molecular …, 2020 - Elsevier
The phenomena of rice adulteration and shoddy rice arise continuously in high-quality rice
and reduce the interests of producers, consumers and traders. Hyperspectral imaging (HSI) …
and reduce the interests of producers, consumers and traders. Hyperspectral imaging (HSI) …