Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform

Author:

Mohd Asaari Mohd Shahrimie,Mishra Puneet,Mertens Stien,Dhondt StijnORCID,Inzé Dirk,Wuyts NathalieORCID,Scheunders Paul

Funder

Flemish research center IMEC

Academic Staff Training Scheme

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference67 articles.

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3. Calibration of hyperspectral close-range pushbroom cameras for plant phenotyping;Behmann;ISPRS J. Photogram. Rem. Sens.,2015

4. Behmann, J., Mahlein, A.-K., Paulus, S., Kuhlmann, H., Oerke, E.-C., Plümer, L., 2015b. Generation and application of hyperspectral 3d plant models. In: Agapito, L., Bronstein, M., Rother, C. (Eds.), Computer Vision – ECCV 2014 Workshops. Lecture Notes in Computer Science, vol. 8928. Springer, pp. 117–130.

5. Detection of early plant stress responses in hyperspectral images;Behmann;ISPRS J. Photogram. Rem. Sens.,2014

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