Fusion of Deep Convolution and Shallow Features to Recognize the Severity of Wheat Fusarium Head Blight

Anthracnose disease diagnosis by image processing, support vector machine and correlation with pigments

(2019) Mohd Shahanbaj Khan et al.   JOURNAL OF PLANT PATHOLOGY

Factors influencing the use of deep learning for plant disease recognition

(2018) Jayme G.A. Barbedo   BIOSYSTEMS ENGINEERING

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

Automated leaf disease detection in different crop species through image features analysis and One Class Classifiers

(2018) X.E. Pantazi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Rice blast recognition based on principal component analysis and neural network

(2018) Maohua Xiao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Occurrence of deoxynivalenol and deoxynivalenol-3-glucoside in durum wheat from Argentina

(2017) Sofía A. Palacios et al.   FOOD CHEMISTRY

Plant identification using deep neural networks via optimization of transfer learning parameters

(2017) Mostafa Mehdipour Ghazi et al.   NEUROCOMPUTING

Identification of rice diseases using deep convolutional neural networks

(2017) Yang Lu et al.   NEUROCOMPUTING

Estimates of plant density of wheat crops at emergence from very low altitude UAV imagery

(2017) Xiuliang Jin et al.   REMOTE SENSING OF ENVIRONMENT

Assessment of Fusarium and Deoxynivalenol Using Optical Methods

(2016) Fernando A. M. Saccon et al.   Food and Bioprocess Technology

Spectrum and Image Texture Features Analysis for Early Blight Disease Detection on Eggplant Leaves

(2016) Chuanqi Xie et al.   SENSORS

Plant leaf recognition using texture and shape features with neural classifiers

(2015) Jyotismita Chaki et al.   PATTERN RECOGNITION LETTERS

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

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