Uday Pratap Singh

Plant Science · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Uday Pratap Singh trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. K. Golhani
  2. J. G. Arnal Barbedo
  3. Steven W. Chen
  4. Siva K. Balasundram

Papers from Uday Pratap Singh's perspective

Ordered by how strongly the researchers Uday Pratap Singh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A review on the main challenges in automatic plant disease identification based on visible range images
  2. Counting Apples and Oranges With Deep Learning: A Data-Driven Approach (IEEE Robotics and Automation Letters)
  3. Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks (IEEE Transactions on Geoscience and Remote Sensing)
  4. An automated detection and classification of citrus plant diseases using image processing techniques: A review (Computers and Electronics in Agriculture)
  5. Convolutional Neural Network With Data Augmentation for SAR Target Recognition (IEEE Geoscience and Remote Sensing Letters)
  6. Deep learning models for plant disease detection and diagnosis (Computers and Electronics in Agriculture)
  7. Deep learning in agriculture: A survey (Computers and Electronics in Agriculture)
  8. Plants Disease Identification and Classification Through Leaf Images: A Survey (Archives of Computational Methods in Engineering)
  9. Identification of Maize Leaf Diseases Using Improved Deep Convolutional Neural Networks (IEEE Access)
  10. A review of neural networks in plant disease detection using hyperspectral data (Information Processing in Agriculture)

Their papers