Detection of Sclerotinia rot disease on celery using hyperspectral data and partial least squares regression

By J. Huang, Armando A. Apan. 2006

79 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Ecology, Food Science

View Paper: https://www.semanticscholar.org/paper/04501e5f6140499d78d50f4d9d69c5027e52cc91

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. Andrew P. French
2. N. Harrison
3. Amy Lowe
4. Fulya Baysal-Gurel
5. Samuel C. Hassler

In Ecology

1. Andrew P. French
2. N. Harrison
3. Amy Lowe
4. Fulya Baysal-Gurel
5. Samuel C. Hassler

In Food Science

1. Andrew P. French
2. N. Harrison
3. Amy Lowe

Citations in the corpus

• Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress (2017, methodology): “Huang [35] tries to detect Sclerotinia rot disease in Celery crops by using partial least squares regression (PLSR) with derivatives of first and second order.”