Intelligent diagnosis of northern corn leaf blight with deep learning model

An optimized dense convolutional neural network model for disease recognition and classification in corn leaf

(2020) Abdul Waheed et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Using deep transfer learning for image-based plant disease identification

(2020) Junde Chen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Leaf image-based classification of some common bean cultivars using discriminative convolutional neural networks

(2020) H. Tavakoli et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Maize leaf disease classification using deep convolutional neural networks

(2019) Ramar Ahila Priyadharshini et al.   NEURAL COMPUTING & APPLICATIONS

Research on deep learning in apple leaf disease recognition

(2019) Yong Zhong et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning models for plant disease detection and diagnosis

(2018) Konstantinos P. Ferentinos   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Expression profile analysis of maize in response to Setosphaeria turcica

(2018) Fengmei Shi et al.   GENE

Additive Margin Softmax for Face Verification

(2018) Feng Wang et al.   IEEE SIGNAL PROCESSING LETTERS

Identification of Maize Leaf Diseases Using Improved Deep Convolutional Neural Networks

(2018) Xihai Zhang et al.   IEEE Access

Identification of rice diseases using deep convolutional neural networks

(2017) Yang Lu et al.   NEUROCOMPUTING

Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning

(2017) Chad DeChant et al.   PHYTOPATHOLOGY

Deep Count: Fruit Counting Based on Deep Simulated Learning

(2017) et al.   SENSORS

Contributions of Zea mays subspecies mexicana haplotypes to modern maize

(2017) Ning Yang et al.   Nature Communications

Using Deep Learning for Image-Based Plant Disease Detection

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

Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification

(2016) Srdjan Sladojevic et al.   Computational Intelligence and Neuroscience

Deep learning

(2015) Yann LeCun et al.   NATURE

Quick and Accurate Detection and Quantification of Magnaporthe oryzae in Rice Using Real-Time Quantitative Polymerase Chain Reaction

(2015) Geng Sun et al.   PLANT DISEASE

Survey of Plant Density Tolerance in U.S. Maize Germplasm

(2013) Brian D. Mansfield et al.   CROP SCIENCE

The future of food — Scenarios and the effect on natural resource use in agriculture in 2050

(2013) I.Y.R. Odegard et al.   ECOLOGICAL ECONOMICS

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Advances in plant disease and pest management

(2011) J. A. LUCAS   JOURNAL OF AGRICULTURAL SCIENCE