An Asian Journal of Soil Science

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Evaluating Fertilizer Applications on Spectral Behaviour of Rice Crop Using Remote Sensing Technique


Affiliations
1 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), India
2 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), India
3 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), India
4 ICAR Indian Institute of Rice Research, Hyderabad (Telangana), India
     

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Present experiments were conducted at the research farm of Indian Agricultural Research Institute, New Delhi during Kharif 1999 and Kharif 2001 to study the influence of nitrogenous fertilizer on the tilth of rice crop by remote sensing technique. Spectral radiance observations of the crop canopy were collected with the Portable Spectroradiometer which scanned from 330 nm to 1100 nm of electromagnetic spectrum range at 5nm interval (band-width). Normalized difference vegetation index was calculated for the both tillage practices, puddle and unpuddled situation at different growth stages for different fertilizer treatment. Fertilized plots were observed to have a higher value of BR than controlled ones throughout the crop growth period, both in puddled and unpuddled treatments. The higher values of band ratio were observed in puddled rice compared to the unpuddled rice irrespective of growth stages and fertilizer application levels. Statistical correlations were developed between NDVI (Normalized difference vegetation index) and RVI (Ratio vegetation index) with LAI (Leaf area index), DM (Dry matter) production and total leaf chlorophyll content. Second order polynomial equations were developed to correlate remotely sensed data with crop biometrics. Polynomial second order equations of 'band ratio' were found to be better fitted than NDVI with crop biometrics.

Keywords

NDVI, Puddle, Unpuddled, Rice, Fertilizer.
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  • Allen, W.A. and Richardson, A.J. (1986). Interaction of light with a plant canopy. J. Optical Soc. America, 58: 1023-1028.

  • Aparicio, N., Villegas, D., Casadesus, J., Araus, J.L. and Royo, C. (2000). Spectral vegetation indices as nondestructive tool for determining durum wheat yield. Agron. J., 92 (1): 83-91.

  • Bajpai, R.K. and Tripathi, R.P. (2000). Evaluation of nonpuddling under shadow water tables and alternative tillage methods as soil and crop parameters in a rice-wheat system in Uttar Pradesh. Soil Tillage Res., 55 (1-2): 99-101.

  • Birth, G.S. and McVey, G.R. (1968). Measuring the colour of turf with a spectrophotometer. Agron, J., 60: 640-643.

  • Field, C.B., Gamon, J.A. and Pnuelas, J. (1993). Remote sensing of terrestrial photosynthesis. In: Ecophysiology of photosynthesis (Eds ED Schulze and MM Caldwell), Ecological Studies, 100.

  • Gilabert, M.A., Gandia, S. and Melia, J. (1996). Analysis of spectral biophysical relationships for a corn canopy. Remote Sens. Environ., 55: 11-20.

  • Gopal, M., Devi, K.R. and Lingam, B. (1999).Effect of seeding density, level and time of N applicationin direct sown rice under puddle contions. J. Res. ANGRAU, 27 (1-2): 53-55.

  • Goward, S.N., Tucker, C.J. and Dye, D.G. (1985). North American vegetation patterns observed with NOAA-7 advanced very highresolution radiometer. Vegetatio, 64:3-14.

  • Hiscox, J.D. and Israelstam, G.F. (1979). Amethod for the extraction of chlorophyll from leaf tissue without maceration Can. J. Bot., 57: 1332-1334.

  • Jago, R.A. and Curran, P.J. (1995). The effect of land contamination on the relationship between the red edge and chlorophyll concentration of a grass and canopy. In RSS95: Remote Sensing in Action, Nottingham: Remote Sensing Society, 442-449pp.

  • Jain, V., Pal, M., Lakkineni, K.C. and Abrol, Y.P. (1999). Photosynthetic characteristics in two wheat genotypes as affected by nitrogen nutrition. Biologia. Plantarum, 42 (2): 217-222.

  • Jamil, M., Shah, I.A., Mehdi, S.M. and Ismat, N. (1992). Effect of land preparation methods and fertilizer application on fertilizer use efficiency in rice KS 282. J Agric. Res. (Pak), 30 (4): 469-477.

  • Lin, X.Z., Huang, Q.M. and Tu, Z.P. (1990). Studies on high yield cultivation of rice in Guangdong by controlling chlorophyll content and leaf area index. Jiangsu. J. Agric. Sci., 6: 20-26.

  • Pandey, P.K., Pandey, M.D., Singh, Raghvendra and Singh, R. (2000). Response of medium land rice to sowing methods, moisture regimes and nitrogen levels. Crop Res., 1 (2):249-252.

  • Rao, M.V. (1982).Wheat production problems in India. Proc. National seminar on productivity in wheat and wheat products, held in Vigyan Bhawan, New Delhi, April 29-30, pp. 5-9.

  • Rouse, J.W., Haas, R.H., Schell, J.A. and Deering, D.W. (1973). Monitoring vegetation systems in the great plains with ETRS. In : Third ETRS Symp NASA Sp, 357(1) : 309-317.

  • Sader, R., Pedroso, P.A.C., Epifania, L.C., Gavioli, E.A. and Mattos Junior, D. (1990). Effects of nitrogen fertilizer on chlorophyll contents, yield and seed quality of rice. Cientifica Jaboticabal, 18 (2):63-69.

  • SAS (1998). Statistical analysis system/OR User’s guide SAS Institute, NORTH CAROLINA, USA.

  • Sellers, P.J. (1987). Canopy reflectance, photosynthesis and transpiration. II The role of biophysics in the linearity of their interdependence. Remote Sens. Environ., 6 : 143-183.

  • Srivastava, S.K., Nageswara, Rao, P.P. and Jayaraman, V. (1998). Towards space borne terrestrial imaging spectrometry. Scientific Report ISRO-NNRMS-SR: 41-98.

  • Stutterheim, N.C. and Barbier, J.M. (1995).Growth and yield formation of irrigated, direct seeded rice as affected by nitrogen fertilizer. European J. Agron., 4 (3): 299-308.

  • Wang, K., Shen Zhang Quan, Wang, K., Shen, Z.Q. and Wang, R.C. (1998).Effect of nitrogen nutrition on the spectral characteristics of rice leaf and canopy. Zhejiang Agric. Univ., 24 (1) : 93-97.


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  • Evaluating Fertilizer Applications on Spectral Behaviour of Rice Crop Using Remote Sensing Technique

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Authors

Shashi Bhushan Kumar
Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), India
Madhukar Kumar
Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), India
Ashok Kumar
Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), India
Brajendra
ICAR Indian Institute of Rice Research, Hyderabad (Telangana), India
B. K. Jha
ICAR Indian Institute of Rice Research, Hyderabad (Telangana), India
A. K. Dwivedi
Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), India
Rakesh Ranjan
Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), India
Maya Kumari
Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), India
Himanshu Singh
Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), India
Pradeep Prasad
Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), India

Abstract


Present experiments were conducted at the research farm of Indian Agricultural Research Institute, New Delhi during Kharif 1999 and Kharif 2001 to study the influence of nitrogenous fertilizer on the tilth of rice crop by remote sensing technique. Spectral radiance observations of the crop canopy were collected with the Portable Spectroradiometer which scanned from 330 nm to 1100 nm of electromagnetic spectrum range at 5nm interval (band-width). Normalized difference vegetation index was calculated for the both tillage practices, puddle and unpuddled situation at different growth stages for different fertilizer treatment. Fertilized plots were observed to have a higher value of BR than controlled ones throughout the crop growth period, both in puddled and unpuddled treatments. The higher values of band ratio were observed in puddled rice compared to the unpuddled rice irrespective of growth stages and fertilizer application levels. Statistical correlations were developed between NDVI (Normalized difference vegetation index) and RVI (Ratio vegetation index) with LAI (Leaf area index), DM (Dry matter) production and total leaf chlorophyll content. Second order polynomial equations were developed to correlate remotely sensed data with crop biometrics. Polynomial second order equations of 'band ratio' were found to be better fitted than NDVI with crop biometrics.

Keywords


NDVI, Puddle, Unpuddled, Rice, Fertilizer.

References