Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective

By Stefan Thomas, M. Kuska, David Bohnenkamp, Anna Brugger, E. Alisaac, Mirwaes Wahabzada, Jan Behmann, Anne-Katrin Mahlein. 2018

298 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Ecology, Media Technology

View Paper: https://www.semanticscholar.org/paper/87f58d95e7604c007badb148cf347f67d9c11fb2

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. Anne-Katrin Mahlein
2. J. Lamichhane

In Ecology

1. Anne-Katrin Mahlein
2. Uwe Rascher
3. J. Lamichhane

In Media Technology

1. Uwe Rascher

Citations in the corpus

• Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture (2020, background): “[225] Reviewed the contributions of hyperspectral imaging to the detection of plant disease and discussed different factors (e.”
• Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed! (2019, background): “From the technical perspective, four different kinds of hyperspectral sensor technologies are available: push broom scanner, whisk broom scanner, filter-based sensor and non-imaging sensor [20,24].”