Modern imaging techniques in plant nutrition analysis: A review-Reference-Cited by-同舟云学术

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Modern imaging techniques in plant nutrition analysis: A review

Published:2020-07 Issue: Volume:174 Page:105459
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Li Daoliang,Li Cheng,Yao Yuan,Li Mengdi,Liu Licheng

Funder

Beijing Municipal Science and Technology Commission

Publisher

Elsevier BV

Subject

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

Reference151 articles.

1. A Low-cost smartphone controlled sensor based on image analysis for estimating whole-plant tissue nitrogen (N) content in floriculture crops;Adhikari;Comput. Electron. Agric.,2020

2. Adhiwibawa, M.A.S., Tantono, C., Prilianti, K.R., Prihastyanti, M.N.P., Limantara, L., Brotosudarmo, T.H.P., 2013. Rapid Nitrogen Determination of Soybean Leaves Using Mobile Application. IEEE Xplore Digital Library.

3. Adrian, G.R., C., K.S., Omar, V.-D., A., Z.-A.M., M., P.B., E., C.J., et al., 2017. Comparative performance of ground vs. aerially assessed Rgb and multispectral indices for early-growth evaluation of maize performance under phosphorus fertilization. Frontiers Plant Sci. 8, 2004.

4. Field high-throughput phenotyping: the new crop breeding frontier;Araus;Trends Plant Sci.,2014

5. Pgp repository: a plant phenomics and genomics data publication infrastructure;Arend;Database,2016

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