Automatic detection of powdery mildew on grapevine leaves by image analysis: Optimal view-angle range to increase the sensitivity

By R. Oberti, Massimo Marchi, P. Tirelli, A. Calcante, M. Iriti, A. Borghese. 2014

129 citations recorded by the source corpus.

Subfields: Cell Biology, Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/ed6fe2b817c14542cd13b69d413b4f1158066afe

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. J. G. Arnal Barbedo
2. Shreelekha Pandey
3. Sukhvir Kaur
4. Shivani Goel

In Ecology

1. J. G. Arnal Barbedo

In Plant Science

1. Shreelekha Pandey
2. Sukhvir Kaur
3. Shivani Goel
4. Abdul Mounem Mouazen
5. J. G. Arnal Barbedo
6. Jose A. Ventura
7. Renato Antonio Krohling
8. José G. M. Esgario

Citations in the corpus

• Hyperspectral measurements of yellow rust and fusarium head blight in cereal crops: Part 2: On-line field measurement (2018, background): “Fusarium head blight fungi survive 364 over winter on plant tissues and residues as mycelium (Sutton, 1982) and infected residues can 365 produce ascospores and can infect the flag shoot (Oberti et al., 2014), even after two years on the soil 366 surface (Pereyra et al., 2004).”
• A review on the main challenges in automatic plant disease identification based on visible range images (2016, background): “Interestingly, a counterpoint to the perpendicular angle of capture being considered ideal was given by Oberti et al. (2014).”
• Plants Disease Identification and Classification Through Leaf Images: A Survey (2018, methodology): “CCD color cameras with different specifications are combined with software tools to capture images [37, 39, 40].”