Compendium of Soybean Diseases and Pests, Fifth Edition

By G. Hartman, J. Rupe, E. Sikora, L. Domier, Jeffrey A. Davis, K. Steffey. 2015

145 citations recorded by the source corpus.

Subfields: Plant Science

View Paper: https://www.semanticscholar.org/paper/8e7a03fe40e4a8c18bcd39e1556f6c6d76d1015e

How researchers see this paper

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

In Plant Science

1. Shujuan Zhang
2. Lili Li
3. Bin Wang

Citations in the corpus

• An explainable deep machine vision framework for plant stress phenotyping (2018, background): “…test images predicted as bacterial blight and 11.6% of bacterial blight test images predicted as bacterial pustule) occurred between bacterial blight and bacterial pustule; discriminating between these two diseases is challenging even for expert plant pathologists due to confounding symptoms (17).”
• Plant disease identification using explainable 3D deep learning on hyperspectral images (2019, background): “Small black fungal survival structures called microsclerotia, which also act as an inoculum source, develop at the nodes and in the epidermal and sub epidermal tissue, pods, and even on seed [2, 12].”