Detection of Fusarium Head Blight in Wheat Using a Deep Neural Network and Color Imaging

Identification of grape diseases using image analysis and BP neural networks

(2019) Juanhua Zhu et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Early Visual Detection of Wheat Stripe Rust Using Visible/Near-Infrared Hyperspectral Imaging

(2019) Zhifeng Yao et al.   SENSORS

Hyperspectral measurements of yellow rust and fusarium head blight in cereal crops: Part 2: On-line field measurement

(2018) Rebecca L. Whetton et al.   BIOSYSTEMS ENGINEERING

Hyperspectral measurements of yellow rust and fusarium head blight in cereal crops: Part 1: Laboratory study

(2018) Rebecca L. Whetton et al.   BIOSYSTEMS ENGINEERING

Classification of Fusarium-infected and healthy wheat kernels based on features from hyperspectral images and flatbed scanner images: a comparative analysis

(2018) Ewa Ropelewska et al.   EUROPEAN FOOD RESEARCH AND TECHNOLOGY

Hyperspectral quantification of wheat resistance to Fusarium head blight: comparison of two Fusarium species

(2018) E. Alisaac et al.   EUROPEAN JOURNAL OF PLANT PATHOLOGY

Quantitative assessment of disease severity and rating of barley cultivars based on hyperspectral imaging in a non-invasive, automated phenotyping platform

(2018) Stefan Thomas et al.   Plant Methods

Classifying Wheat Hyperspectral Pixels of Healthy Heads and Fusarium Head Blight Disease Using a Deep Neural Network in the Wild Field

(2018) Xiu Jin et al.   Remote Sensing

Wheat Ears Counting in Field Conditions Based on Multi-Feature Optimization and TWSVM

(2018) Chengquan Zhou et al.   Frontiers in Plant Science

Sensors for measuring plant phenotyping: A review

(2018) Ruicheng Qiu et al.   International Journal of Agricultural and Biological Engineering

Ear density estimation from high resolution RGB imagery using deep learning technique

(2018) Simon Madec et al.   AGRICULTURAL AND FOREST METEOROLOGY

Detection and analysis of wheat spikes using Convolutional Neural Networks

(2018) Md Mehedi Hasan et al.   Plant Methods

SLIC_SVM based leaf diseases saliency map extraction of tea plant

(2018) Yunyun Sun et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective

(2017) Stefan Thomas et al.   Journal of Plant Diseases and Protection

Detecting spikes of wheat plants using neural networks with Laws texture energy

(2017) Li Qiongyan et al.   Plant Methods

In-field automatic observation of wheat heading stage using computer vision

(2016) Yanjun Zhu et al.   BIOSYSTEMS ENGINEERING

Using Deep Learning for Image-Based Plant Disease Detection

(2016) Sharada P. Mohanty et al.   Frontiers in Plant Science

TensorFlow: Biology’s Gateway to Deep Learning?

(2016) Ladislav Rampasek et al.   Cell Systems

Detecting Fusarium head blight in wheat kernels using hyperspectral imaging

(2015) Jayme G.A. Barbedo et al.   BIOSYSTEMS ENGINEERING

Detection of early blight and late blight diseases on tomato leaves using hyperspectral imaging

(2015) Chuanqi Xie et al.   Scientific Reports

Digital Image Analysis Method for Estimation of Fusarium-Damaged Kernels in Wheat

(2014) Peter V. Maloney et al.   CROP SCIENCE

Early detection of Fusarium infection in wheat using hyper-spectral imaging

(2011) E. Bauriegel et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

QTL mapping and marker-assisted selection forFusariumhead blight resistance in wheat: a review

(2009) H. Buerstmayr et al.   PLANT BREEDING