The development of a hyperspectral imaging method for the detection of Fusarium-damaged, yellow berry and vitreous Italian durum wheat kernels

By S. Serranti, D. Cesare, G. Bonifazi. 2013

68 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biomedical Engineering, Biophysics

View Paper: https://www.semanticscholar.org/paper/83a4948d415082dc7356cb91c9a3347253fedcfe

Citations in the corpus

• Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review (2018, unknown): “Conventional optical techniques adopted by the industry for grading wheat grains usually present high misclassi fi cation error rates(Serranti et al., 2013).”