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Bandyopadhyay, K. K.

Characterization and Crop Planning of Rabi Fallows Using Remote Sensing and GIS

Abstract Views :220 | PDF Views:106

Authors

K. K. Bandyopadhyay ¹, R. N. Sahoo ¹, Ravender Singh ¹, S. Pradhan ¹, S. Singh ¹, Gopal Krishna ¹, S. Pargal ¹, S. K. Mahapatra ²

Affiliations
1 Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi 110 012, IN
2 National Bureau of Soil Survey and Land Use Planning, Delhi Centre, New Delhi 110 012, IN

Source

Current Science, Vol 108, No 11 (2015), Pagination: 2051-2062

Abstract

Rice is the principal crop during kharif (rainy) season in eastern India, which occupies 26.8 M ha accounting for 63.3% of the total rice-growing areas of the country. However, this area is not fully utilized for crop production in the subsequent rabi (post-rainy) season and kept fallow due to a number of biotic, abiotic and socio-economic constraints. If this rabi fallow area can be effectively utilized, it will help in improving the economy of this region, which is yet to be benefited from the green revolution. The objectives of the present study include: (i) delineation of rabi fallow areas of eastern India using remote sensing and GIS technique; (ii) characterization of soil resources of the rabi fallow regions, and (iii) suggesting site-specific crop planning for this region. It was estimated that about 12.54 M ha area in the rabi season is left fallow in eastern India. The soil properties like soil texture, soil moisture retention at field capacity and permanent wilting point, saturated hydraulic conductivity, soil pH, electrical conductivity, soil organic carbon, etc. were determined at the representative profiles distributed in different agro-ecological sub-regions (AESRs) of this region and mapped in a GIS environment. Using water balance studies, site-specific crop planning based on available residual soil moisture has been suggested. In most of the AESRs, pulses and oilseeds like green gram, black gram, Sesamum and mustard can be grown successfully on residual soil moisture content. Crops which suffer from water deficit during maturity stages can also be grown during rabi season with one or two supplemental irrigations, wherever possible. If the site-specific constraints to crop production can be alleviated and these fallow lands can be brought under cultivation through proper crop planning as suggested, poverty in this resourceful region can be eradicated to a great extent.

Keywords

Crop Planning, Rabi Fallow, Remote Sensing and GIS, Water Balance.

Full Text

Prediction of Wheat Yield Using Spectral Reflectance Indices Under Different Tillage, Residue and Nitrogen Management Practices

Abstract Views :226 | PDF Views:86

Authors

Sujan Adak ¹, K. K. Bandyopadhyay ¹, R. N. Sahoo ¹, N. Mridha ², M. Shrivastava ³, T. J. Purakayastha ⁴

Affiliations
1 Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi 110 012, IN
2 National Institute of Research on Jute and Allied Fibre Technology, Kolkata 700 040, IN
3 Centre for Environment Sciences and Climate Resilient Agriculture, Indian Agricultural Research Institute, New Delhi 110 012, IN
4 Division of Soil Science and Agricultural Chemistry, Indian Agricultural Research Institute, New Delhi 110 012, IN

Source

Current Science, Vol 121, No 3 (2021), Pagination: 402-413

Abstract

Effect of tillage, residue mulch and nitrogen manage-ment on canopy spectral reflectance indices and their potential to predict the grain and biomass yield of wheat in advance were studied in a field experiment conducted at the Indian Agricultural Research Institute, New Delhi during 2016–17 and 2017–18. The canopy reflectance was measured using a hand-held ASD FieldSpec spectroradiometer at booting, milking and dough stage of wheat. Then 38 hyperspectral structural indices were recorded using the spectral reflectance data and correlated with wheat yield. It was observed that correlation of these indices with wheat grain and biomass yield was maximum for the booting stage. Among the 38 indices recorded at the booting stage, 13 showed significantly higher correlation with grain yield and 10 indices with biomass yield of wheat (r³0.8). Regression models were developed between grain and biomass yield of wheat with these identified spectral indices recorded at booting stage for 2016–17. Validation of these regression models during 2017–18 showed that normalized difference red edge index (NDREI)-based model performed best for grain and biomass prediction. It could account for maximum 76.4% and 84.3% variation in the observed grain and biomass yield of wheat with ischolar_main mean square error of 37.8% and 50.5% of the corresponding mean values respectively. Thus the regression models based on NDREI recorded at booting stage can be successfully used for the prediction of grain and biomass yield of wheat in advance.

Keywords

Canopy Reflectance, Regression Models, Spectral Indices, Wheat, Yield Prediction.

Full Text

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Comparative Evaluation of Reference Evapotranspiration Estimation Models In New Bhupania Minor Command, Jhajjar, Haryana, India

Abstract Views :94 | PDF Views:60

Authors

Venkatesh Gaddikeri ¹, A. Sarangi ², D. K. Singh ¹, K. K. Bandyopadhyay ³, Bidisha Chakrabarti ⁴, S. K. Sarkar ⁵

Affiliations
1 Division of Agricultural Engineering, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India., IN
2 Water Science and Technology, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India., IN
3 Division of Agricultural Physics, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India., IN
4 Centre for Environment Science and Climate Resilient Agriculture, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India., IN
5 ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110 012, India., IN

Source

Current Science, Vol 124, No 10 (2023), Pagination: 1181-1187

Abstract

Accurate quantification of reference crop evapotran-spiration (ETo) plays a significant role in determining crop water requirements in irrigated agriculture. A plethora of methods for the estimation of ETo are available. However, the regional suitability of these methods needs to be assessed given the limited availa-bility of meteorological data. In this study, daily estimates of 11 ETo models were selected and compared with the FAO-Penman–Monteith equation (FAO-PM). The select-ed methods were Blaney–Criddle (BC), Jaisen–Haise (JH), Hargreaves method (HM), McGuinness–Borndne (MB), Chapman (CM), Abtew model (AM), Turc method (TM), FAO-PM equation, Penman equation (PM), Prie-stley–Taylor (PT) and Matt–Shuttleworth (MS). Evalua-tion of these models was carried out during 2016–20 in the New Bhupania Minor Command of the Dulhera dis-tributary, Western Yamuna Canal Command (WYCC), Haryana, India. The selected models were evaluated to find a substitute for the FAO-PM equation based on different statistical indices. It was observed that the PT method performed best and was in line with the FAO-PM equation with correlation coefficient, root mean square error, mean absolute error, Nash–Sutcliffe co-efficient and mean bias error as 0.92, 0.74, 0.48, 0.83, 0.171 respectively. Based on this study and statistical error indices values, the models can be ranked as PT > CM > TM > JH > AM > PM > MS > HM > BC > MB. Thus, we recommend using the PT model for the esti-mation of ETo in the study area with available meteoro-logical parameters for irrigation scheduling.

Keywords

Canal Command, Climatological Data, Comparative Evaluation, Evapotranspiration Estimation Models, Irrigated Agriculture.

Full Text

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