Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat

Author:

Moghimi Ali,Yang Ce,Anderson James A.

Funder

Minnesota’s Discovery, Research, and InnoVation Economy (MnDRIVE) program

Publisher

Elsevier BV

Subject

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

Reference55 articles.

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2. Translating High-Throughput Phenotyping into Genetic Gain;Araus;Trends Plant Sci.,2018

3. Ashapure, A., Oh, S., Marconi, T.G., Chang, A., Jung, J., Landivar, J., Enciso, J., 2019. Unmanned aerial system based tomato yield estimation using machine learning 22. Doi: http://doi.org/10.1117/12.2519129.

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