Mohammed Eunus Ali
Plant Science · with Apon · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Plant Science — 13 citations into it
Whom Mohammed Eunus Ali trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Mohammed Eunus Ali's perspective
Ordered by how strongly the researchers Mohammed Eunus Ali trusts endorse each paper. Same corpus, a different order for every researcher.
- Going deeper with convolutions
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning (Computational Intelligence and Neuroscience)
- Identification of rice diseases using deep convolutional neural networks (Neurocomputing)
- Deep learning models for plant disease detection and diagnosis (Computers and Electronics in Agriculture)
- Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning. (Phytopathology)
- A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition (Italian National Conference on Sensors)
- Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks (Symmetry)
- Automatic detection of ‘yellow rust’ in wheat using reflectance measurements and neural networks