Disease Assessment Concepts and the Advancements Made in Improving the Accuracy and Precision of Plant Disease Data

By F. Nutter, P. Esker, R. A. C. Netto. European journal of plant pathology, 2006

160 citations recorded by the source corpus.

Subfields: Cell Biology, Plant Science

View Paper: https://www.semanticscholar.org/paper/e40b70f9c13d94b63aa119ebf3fee1f6fc2a8633

How researchers see this paper

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

In Cell Biology

1. Clive H. Bock
2. K. Chiang
3. J. G. Arnal Barbedo

In Plant Science

1. Clive H. Bock
2. Sook Yoon
3. Alvaro Fuentes
4. T. Gottwald
5. Sang Cheol Kim
6. Dong Sun Park
7. P. Parker
8. Gavin Poole

Citations in the corpus

• A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition (2017, background): “Diseases in plants have been largely studied in the scientific area, mainly focusing on the biological characteristics of diseases [4].”
• Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging (2010, methodology): “Thus, the pathogens can be detected and quantified by immunological and molecular methods (ELISA, PCR etc; Nutter et al., 2006; Jackson et al., 2007) and by microscopy (Hilber and Scheupp, 1992).”