Identification of insect-damaged wheat kernels using short-wave near-infrared hyperspectral and digital colour imaging

By C. Singh, Digvir S. Jayas, Jitendra Paliwal, N. White. 2010

164 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Plant Science

View Paper: https://www.semanticscholar.org/paper/ff18483d7cef4da4bc7eaf5b249da146f3071447

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. Lei Li
2. Danfeng Huang
3. Qin Zhang

In Plant Science

1. Lei Li
2. Danfeng Huang
3. Qin Zhang

Citations in the corpus

• A Review of Imaging Techniques for Plant Phenotyping (2014, background): “status; leaf growth; Coverage density Rice [72–76]; Wheat [50];”
• Crop Phenomics and High-throughput Phenotyping: Past Decades, Current Challenges and Future Perspectives. (2020, unknown): “, 2009), insect-damaged wheat kernels (Singh et al., 2010), and grain protein content (Wang et al.”