Application of UAV-Based Imaging and Deep Learning in Assessment of Rice Blast Resistance

Rice bacterial blight resistant cultivar selection based on visible/near-infrared spectrum and deep learning

(2022) Jinnuo Zhang et al.   Plant Methods

A deep convolutional neural network-based wavelength selection method for spectral characteristics of rice blast disease

(2022) Shuai Feng et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Characterization of infected process and primary mechanism in rice Acuce defense against rice blast fungus, Magnaporthe oryzae

(2022) Xiaoqing Ma et al.   PLANT MOLECULAR BIOLOGY

Time Series Canopy Phenotyping Enables the Identification of Genetic Variants Controlling Dynamic Phenotypes in Soybean

(2022) Delin Li et al.   Journal of Integrative Plant Biology

Application of Hyperspectral Imaging in the Assessment of Drought and Salt Stress in Magneto-Primed Triticale Seeds

(2021) Jose Alvarez et al.   Plants-Basel

Spectral signatures in the UV range can be combined with secondary plant metabolites by deep learning to characterize barley–powdery mildew interaction

(2021) Anna Brugger et al.   PLANT PATHOLOGY

Extraction of Areas of Rice False Smut Infection Using UAV Hyperspectral Data

(2021) Gangqiang An et al.   Remote Sensing

Antibacterial activity and rice-induced resistance, mediated by C15surfactin A, in controlling rice disease caused by Xanthomonas oryzae pv. oryzae

(2020) Pengfei Jin et al.   PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY

Research on optimal predicting model for the grading detection of rice blast

(2019) Ya-hui Luo et al.   OPTICAL REVIEW

Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras

(2019) Haiyan Cen et al.   Plant Methods

Sensory assessment of Cercospora beticola sporulation for phenotyping the partial disease resistance of sugar beet genotypes

(2019) Erich-Christian Oerke et al.   Plant Methods

Hyperspectral imaging combined with machine learning as a tool to obtain high‐throughput plant salt‐stress phenotyping

(2019) Xuping Feng et al.   PLANT JOURNAL

The recognition of rice images by UAV based on capsule network

(2018) Yu Li et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Discrimination of herbicide-resistant kochia with hyperspectral imaging

(2018) Paul W. Nugent et al.   Journal of Applied Remote Sensing

Detection of rice sheath blight using an unmanned aerial system with high-resolution color and multispectral imaging

(2018) Dongyan Zhang et al.   PLoS One

Combining UAV-Based Vegetation Indices and Image Classification to Estimate Flower Number in Oilseed Rape

(2018) Liang Wan et al.   Remote Sensing

Predicting grain yield in rice using multi-temporal vegetation indices from UAV-based multispectral and digital imagery

(2017) X. Zhou et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Early Forecasting of Rice Blast Disease Using Long Short-Term Memory Recurrent Neural Networks

(2017) Yangseon Kim et al.   Sustainability

Hyperspectral image analysis based on BoSW model for rice panicle blast grading

(2015) Shuangping Huang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Field high-throughput phenotyping: the new crop breeding frontier

(2013) José Luis Araus et al.   TRENDS IN PLANT SCIENCE