Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision
Authors
Keywords
-
Journal
Remote Sensing
Volume 13, Issue 1, Pages 26
Publisher
MDPI AG
Online
2020-12-24
DOI
10.3390/rs13010026
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network
- (2020) Dengshan Li et al. SENSORS
- Development of a systemic crop signalling system for automated real-time plant care in vegetable crops
- (2020) Wen-Hao Su et al. BIOSYSTEMS ENGINEERING
- Instance segmentation of apple flowers using the improved mask R–CNN model
- (2020) Yunong Tian et al. BIOSYSTEMS ENGINEERING
- Real-time leak detection using an infrared camera and Faster R-CNN technique
- (2020) Jihao Shi et al. COMPUTERS & CHEMICAL ENGINEERING
- Detection and segmentation of overlapped fruits based on optimized mask R-CNN application in apple harvesting robot
- (2020) Weikuan Jia et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Diagnosis of the Severity of Fusarium Head Blight of Wheat Ears on the Basis of Image and Spectral Feature Fusion
- (2020) Linsheng Huang et al. SENSORS
- Integrating spectral and image data to detect Fusarium head blight of wheat
- (2020) Dong-Yan Zhang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Dynamic Remote Sensing Prediction for Wheat Fusarium Head Blight by Combining Host and Habitat Conditions
- (2020) Yingxin Xiao et al. Remote Sensing
- Hyperspectral imaging and improved feature variable selection for automated determination of deoxynivalenol in various genetic lines of barley kernels for resistance screening
- (2020) Wen-Hao Su et al. FOOD CHEMISTRY
- Fingerprinting study of tuber ultimate compressive strength at different microwave drying times using mid-infrared imaging spectroscopy
- (2019) Wen-Hao Su et al. DRYING TECHNOLOGY
- Potato hierarchical clustering and doneness degree determination by near-infrared (NIR) and attenuated total reflectance mid-infrared (ATR-MIR) spectroscopy
- (2019) Wen-Hao Su et al. Journal of Food Measurement and Characterization
- Robotic kiwifruit harvesting using machine vision, convolutional neural networks, and robotic arms
- (2019) Henry A.M. Williams et al. BIOSYSTEMS ENGINEERING
- Chemometric determination of time series moisture in both potato and sweet potato tubers during hot air and microwave drying using near/mid-infrared (NIR/MIR) hyperspectral techniques
- (2019) Wen-Hao Su et al. DRYING TECHNOLOGY
- Comparison and Combination of Thermal, Fluorescence, and Hyperspectral Imaging for Monitoring Fusarium Head Blight of Wheat on Spikelet Scale
- (2019) Anne-Katrin Mahlein et al. SENSORS
- Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN
- (2019) Yang Yu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Fluorescence imaging for rapid monitoring of translocation behaviour of systemic markers in snap beans for automated crop/weed discrimination
- (2019) Wen-Hao Su et al. BIOSYSTEMS ENGINEERING
- Fast implementation of real-time fruit detection in apple orchards using deep learning
- (2019) Hanwen Kang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Using Neural Network to Identify the Severity of Wheat Fusarium Head Blight in the Field Environment
- (2019) Dongyan Zhang et al. Remote Sensing
- Detection of Fusarium Head Blight in Wheat Using a Deep Neural Network and Color Imaging
- (2019) Ruicheng Qiu et al. Remote Sensing
- Non-destructive evaluation of photostability of crop signaling compounds and dose effects on celery vigor for precision plant identification using computer vision
- (2019) Wen-Hao Su et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Embedding topological features into convolutional neural network salient object detection
- (2019) Lecheng Zhou et al. NEURAL NETWORKS
- Identification of Fusarium Head Blight in Winter Wheat Ears Using Continuous Wavelet Analysis
- (2019) Huiqin Ma et al. SENSORS
- Hyperspectral measurements of yellow rust and fusarium head blight in cereal crops: Part 1: Laboratory study
- (2018) Rebecca L. Whetton et al. BIOSYSTEMS ENGINEERING
- Multispectral Imaging for Plant Food Quality Analysis and Visualization
- (2018) Wen-Hao Su et al. COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY
- Hyperspectral quantification of wheat resistance to Fusarium head blight: comparison of two Fusarium species
- (2018) E. Alisaac et al. EUROPEAN JOURNAL OF PLANT PATHOLOGY
- Fourier transform mid-infrared-attenuated total reflectance (FTMIR-ATR) microspectroscopy for determining textural property of microwave baked tuber
- (2018) Wen-Hao Su et al. JOURNAL OF FOOD ENGINEERING
- A Novel Approach to Assess Salt Stress Tolerance in Wheat Using Hyperspectral Imaging
- (2018) Ali Moghimi et al. Frontiers in Plant Science
- Detection and analysis of wheat spikes using Convolutional Neural Networks
- (2018) Md Mehedi Hasan et al. Plant Methods
- Visual assessment and computer–assisted image analysis of Fusarium head blight in the field to predict mycotoxin accumulation in wheat grains
- (2017) Johann Leplat et al. EUROPEAN JOURNAL OF PLANT PATHOLOGY
- Evaluation of spectral imaging for inspection of adulterants in terms of common wheat flour, cassava flour and corn flour in organic Avatar wheat ( Triticum spp.) flour
- (2017) Wen-Hao Su et al. JOURNAL OF FOOD ENGINEERING
- Comparative assessment of feature-wavelength eligibility for measurement of water binding capacity and specific gravity of tuber using diverse spectral indices stemmed from hyperspectral images
- (2016) Wen-Hao Su et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Potential of hyperspectral imaging for visual authentication of sliced organic potatoes from potato and sweet potato tubers and rapid grading of the tubers according to moisture proportion
- (2016) Wen-Hao Su et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Multivariate analysis of hyper/multi-spectra for determining volatile compounds and visualizing cooking degree during low-temperature baking of tubers
- (2016) Wen-Hao Su et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Facilitated wavelength selection and model development for rapid determination of the purity of organic spelt (Triticum spelta L.) flour using spectral imaging
- (2016) Wen-Hao Su et al. TALANTA
- Non-Destructive and rapid evaluation of staple foods quality by using spectroscopic techniques: A review
- (2015) Wen-Hao Su et al. CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
- A Review of Imaging Techniques for Plant Phenotyping
- (2014) Lei Li et al. SENSORS
- A Unified Effort to Fight an Enemy of Wheat and Barley: Fusarium Head Blight
- (2012) Marcia McMullen et al. PLANT DISEASE
- Early detection of Fusarium infection in wheat using hyper-spectral imaging
- (2011) E. Bauriegel et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Detection of head blight (Fusarium ssp.) in winter wheat by color and multispectral image analyses
- (2011) Karl-Heinz Dammer et al. CROP PROTECTION
- QTL mapping and marker-assisted selection forFusariumhead blight resistance in wheat: a review
- (2009) H. Buerstmayr et al. PLANT BREEDING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation