Suitability of low-altitude remote sensing images for estimating nitrogen treatment variations in rice cropping for precision agriculture adoption

Author:

Swain Kishore C.

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference23 articles.

1. Y. Kim and J. F. Reid, "Modeling and calibration of a multi-spectral imaging sensor for in-field crop nitrogen assessment," Appl. Eng. Agr. 22(6), 935-941(2006).

2. C. L. Jones, N. O. Maness, M. L. Stone, and R. Jayasekara, "Chlorophyll estimation using multi-spectral reflectance and height sensing," Proc. ASAE 043081, St. Joseph, MI (2004).

3. D. Haboudane, J. R. Miller, N. Tremblay, P. J. Zarco-Tejada, and L. Dextraze, "Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture," Rem. Sens. Environ. 81 (2-3), 416-426 (2002) 10.1016/S0034-4257(02)00018-4

4. C. S. T. Daughtry, C. L. Walthall, M. S. Kim, E. B. de Colstoun, and J. E. McMurtrey III, "Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance," Rem. Sens. Environ. 74 (2), 229-239 (2000) 10.1016/S0034-4257(00)00113-9

5. C. W. Wood, D. W. Reeves, and D. G. Himelrick, "Relationships between chlorophyll meter readings and leaf chlorophyll concentration, N-status, and crop yield: A review," Proc. Agronomy Soc. New Zealand 23, 1-9 (1993).

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