Back to search

Article

In-field detection and quantification of Septoria tritici blotch in diverse wheat germplasm using spectral-temporal features

2019-06-10

Abstract excerpt

Hyperspectral remote sensing holds the potential to detect and quantify crop diseases in a rapid and non-invasive manner. Such tools could greatly benefit resistance breeding, but their adoption is hampered by i) a lack of specificity to disease-related effects and ii) insufficient robustness to variation in reflectance caused by genotypic diversity and varying environmental conditions, which are fundamental eleme...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
b34312b2-e6fa-5161-a743-b57478bc4cd5
DOI
10.1101/664011
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
In-field detection and quantification of Septoria tritici blotch in diverse wheat germplasm using spectral-temporal featuresDOI 10.1101/664011
Select a neighboring publication to make it the new centre.