Development of an automated plant phenotyping system for evaluation of salt tolerance in soybean

Author:

Zhou Shuiqin,Mou Huawei,Zhou Jing,Zhou Jianfeng,Ye Heng,Nguyen Henry T.

Publisher

Elsevier BV

Subject

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

Reference53 articles.

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3. Arthur, D., Vassilvitskii, S., 2007. k-means++: the advantages of careful seeding. Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms. Society for Industrial and Applied Mathematics Philadelphia, PA, USA. pp. 1027–1035.

4. Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform;Asaari;Comput. Electron. Agric.,2019

5. 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

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