Applying convolutional neural networks for detecting wheat stripe rust transmission centers under complex field conditions using RGB-based high spatial resolution images from UAVs

Identifying Pine Wood Nematode Disease Using UAV Images and Deep Learning Algorithms

(2021) Jun Qin et al.   Remote Sensing

A Deep-Learning-Based Approach for Wheat Yellow Rust Disease Recognition from Unmanned Aerial Vehicle Images

(2021) Qian Pan et al.   SENSORS

Ir-UNet: Irregular Segmentation U-Shape Network for Wheat Yellow Rust Detection by UAV Multispectral Imagery

(2021) Tianxiang Zhang et al.   Remote Sensing

Pathogens which threaten food security: Puccinia striiformis, the wheat stripe rust pathogen

(2020) Xianming Chen   Food Security

UAV‐based training for fully fuzzy classification of Sentinel‐2 fluvial scenes

(2020) P.E. Carbonneau et al.   EARTH SURFACE PROCESSES AND LANDFORMS

Detecting powdery mildew disease in squash at different stages using UAV-based hyperspectral imaging and artificial intelligence

(2020) Jaafar Abdulridha et al.   BIOSYSTEMS ENGINEERING

Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks

(2020) Felix Schiefer et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Aerial Visual Perception in Smart Farming: Field Study of Wheat Yellow Rust Monitoring

(2020) Jinya Su et al.   IEEE Transactions on Industrial Informatics

Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural Network

(2019) Ke Lin et al.   Frontiers in Plant Science

Feasibility of Unmanned Aerial Vehicle Optical Imagery for Early Detection and Severity Assessment of Late Blight in Potato

(2019) Marston Héracles Domingues Franceschini et al.   Remote Sensing

A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images

(2019) Xin Zhang et al.   Remote Sensing

Spatio-temporal monitoring of wheat yellow rust using UAV multispectral imagery

(2019) Jinya Su et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images

(2018) Mohamed Kerkech et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery

(2018) Jinya Su et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak

(2017) Jonathan P. Dash et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

(2017) Xiao Xiang Zhu et al.   IEEE Geoscience and Remote Sensing Magazine

Genome wide association mapping of stripe rust resistance in Afghan wheat landraces

(2016) Alagu Manickavelu et al.   PLANT SCIENCE

Research investment implications of shifts in the global geography of wheat stripe rust

(2015) Jason M. Beddow et al.   Nature Plants

A review of advanced techniques for detecting plant diseases

(2010) Sindhuja Sankaran et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Satellite Remote Sensing of Wheat Infected byWheat streak mosaic virus

(2010) M. Mirik et al.   PLANT DISEASE