Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform

Author:

Asaari Mohd Shahrimie MohdORCID,Mertens Stien,Dhondt StijnORCID,Inzé Dirk,Wuyts Nathalie,Scheunders Paul

Funder

IMEC

Universiti Sains Malaysia

Ministry of Higher Education of Malaysia

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference38 articles.

1. Generating 3D hyperspectral information with lightweight uav snapshot cameras for vegetation monitoring: from camera calibration to quality assurance;Aasen;ISPRS J. Photogramm. Remote Sens.,2015

2. Amatya, S., Karkee, M., Alva, A.K., Larbi, P., Adhikari, B., 2012. Hyperspectral imaging for detecting water stress in potatoes. In: ASABE Annual International Meeting, Paper number: 12-1345197.

3. Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform;Asaari;ISPRS J. Photogramm. Remote Sens.,2018

4. Specim IQ: Evaluation of a new, miniaturized handheld hyperspectral camera and its application for plant phenotyping and disease detection;Behmann;Sensors,2018

5. Generation and application of hyperspectral 3D plant models: methods and challenges;Behmann;Mach. Vis. Appl.,2016

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