Nitrogen assessment by remote sensing and multispectral imagery in maize (Zea mays L.)

Author:

Jaberi-Aghdam Mehryar,Momayezi Mohammad Reza,Bagheri Nikrooz,Azizi Peyman,Nasri Mohammad

Publisher

Springer Science and Business Media LLC

Subject

Plant Science,Agronomy and Crop Science,Biotechnology

Reference36 articles.

1. Bagheri N (2016) Development of a high-resolution aerial remote sensing system for precision agriculture. Int J Remote Sens 38(8):2053–2065

2. Bagheri N, Bordbar M (2014) Solutions for fast development of precision agriculture in Iran. Agric Eng Int 16(3):119–123

3. Caturegli L, Corniglia M, Gaetani M, Grossi N, Magni S, Migliazzi M, Angelini L, Mazzoncini M, Silvestri N, Fontanelli M, Raffaelli M, Peruzzi A, Volterrani M (2016) Unmanned aerial vehicle to estimate nitrogen status of turfgrasses. PLoS One 11(6):e0158268

4. Clevers JG, Gitelson AA (2013) Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and-3. Int J Appl Earth Obs Geoinf 23:344–351

5. Colorado JD, Cera-Bornacelli N, Caldas JS, Petro E, Rebolledo MC, Cuellar D, Caldero F, Mondragon IF, Jaramillo-Botero A (2020) Estimation of nitrogen in rice crop from UAV-captured images. Remote Sens 12:3396

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