Passive reflectance sensing using optimized two- and three-band spectral indices for quantifying the total nitrogen yield of maize

Author:

Hasituya ,Li Fei,Elsayed Salah,Hu Yuncai,Schmidhalter Urs

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference41 articles.

1. Use of a digital camera as alternative method for non-destructive detection of the leaf chlorophyll content and the nitrogen nutrition status in wheat;Baresel;Comput. Electron. Agric.,2017

2. Use of the Canopy Chlorophyl Content Index (CCCI) for remote estimation of wheat nitrogen content in rainfed environments;Cammarano;Agron. J.,2011

3. Developing a new crop circle active canopy sensor-based precision nitrogen management strategy for winter wheat in North China Plain;Cao;Precision Agric.,2017

4. Clarke, T.R., Moran, M.S., Barnes, E.M., Pinter Jr., P.J., Qi, J., 2001. Planar domain indices: a method for measuring a quality of a single component in two-component pixels. In: Proc. IEEE International Geosci. Remote Sens. Sympos. Sydney, Australia, 9-13 July unpaginated CD.

5. The MERIS terrestrial chlorophyll index;Dash;Int. J. Remote Sens.,2004

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