Non-Invasive Sensing of Nitrogen in Plant Using Digital Images and Machine Learning for Brassica Campestris ssp. Chinensis L.

Monitoring plant nitrogen (N) in a timely way and accurately is critical for precision fertilization. The imaging technology based on visible light is relatively inexpensive and ubiquitous, and open-source analysis tools have proliferated. In this study, texture- and geometry-related phenotyping com...

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Detalles Bibliográficos
Autores principales: Xiong, Xin, Zhang, Jingjin, Guo, Doudou, Chang, Liying, Huang, Danfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603544/
https://www.ncbi.nlm.nih.gov/pubmed/31146350
http://dx.doi.org/10.3390/s19112448

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603544/
https://www.ncbi.nlm.nih.gov/pubmed/31146350
http://dx.doi.org/10.3390/s19112448

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