Assessment of soft X-ray imaging for detection of fungal infection in wheat

By D. S. Narvankar, C. Singh, Digvir S. Jayas, N. White. 2009

99 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biomedical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/55fc406799442404e5e8933146c563375086f522

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Digvir S. Jayas
2. Jitendra Paliwal
3. N. White
4. C. Singh
5. Da‐Wen Sun
6. S. Mahesh
7. Hongbin Pu

In Biomedical Engineering

1. N. White
2. Digvir S. Jayas
3. C. Singh
4. Jitendra Paliwal
5. Da‐Wen Sun

In Molecular Biology

1. Digvir S. Jayas
2. N. White
3. Jitendra Paliwal

Citations in the corpus

• Fungal Damage Detection in Wheat Using Short-Wave Near-Infrared Hyperspectral and Digital Colour Imaging (2012, background): “Current methods being practiced for fungal detection, as cited in Narvankar et al.,[4] are chemical, immunological, selective and differential media, fungal volatiles, most probable number, Howard mold count, and polymerase chain reaction.”