International Journal of Agricultural Engineering

M. U. Kale ¹, M. B. Nagdeve ², V. V. Gabhane ²

Affiliations
1 Department of Irrigation and Drainage Engineering, Dr Panjabrao Deshmukh Krishi Vidyapeeth, Akola M.S., IN
2 AICRP on Dry Land Agriculture, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola M.S., IN

Abstract

A study was conducted to assess the characteristics of soils for irrigation planning of command of Hanumansagar reservoir. Physio-chemical properties of soils of the command were assessed at grid of 2.4 x 2.4 km from 0-30 cm depth. The soils of command are classified into four-soil types i.e. clay, clay loam, silty clay loam and silty clay. The most of the soils of command area were clayey (about 77%). Clay, sand and silt content in the soil ranged from 36.32 to 57.70 per cent, 4.75 to 27.25 per cent and 18.6 to 49.29 per cent, respectively. The bulk density and hydraulic conductivity of soils of command was found varying from 1.48 to 1.81 g cm-3 and 1.1 to 13.9 mm hr-1, respectively. The water retention of soil at 0.33 bar varied from 23.77 to 35.63 per cent and at 15 bar varied from 13.30 to 26.30 per cent. The soils of command area were found moderately to strongly alkaline in reaction as pH varied from 7.63 to 8.78. Electrical conductivity of soils was observed ranging from 0.23 to 0.93 dS m-1. Calcium carbonate of these soils varied from 6.25 to 23.5 per cent indicating that the soils are highly calcareous. Thus, the soils of command area are not suitable for horticultural plantation specifically belonging to citrus family. The contour profiles of determined soil properties were prepared as ready reckoner maps.

Keywords

Bulk Density, Hydraulic Conductivity, FC, P

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R. V. Meshram ¹, M. M. Deshmukh ¹, S. B. Wadatkar ¹, M. U. Kale ¹, A. N. Mankar ¹

Affiliations
1 Department of Irrigation and Drainage Engineering, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola (M.S.), IN

Abstract

The study has been undertaken to predict one month ahead ETo using artificial neural networks (ANNs). Climatic parameters for 35 years (1977-2011) were collected for Akola station. The ETo was estimated by using standard Penman-Monteith method which was further used for development and validation of the ANN models as the observed data on ETo was not available. The ANN models were developed using different input combinations. The models learned to predict one month ahead ETo (i.e. ET_o,t+1) for Akola using Levenberg-Marquardt learning method. The training results were compared with each other, and performance evaluations were done for untrained data. Based on results obtained, the ANN model with architecture of 4-12-1 (four, twelve and one neuron(s) in the input, hidden, and output layers, respectively) was found to be the best amongst all the models with minimum standard error (SE) of estimates of 0.74 mm day^-1 and correlation co-efficient of 0.9260. From the study it is concluded that ANN4 model had given better performance with mean absolute error of estimates (MAE) and ischolar_main mean square error (RMSE) of 0.20 and 0.27 mm day^-1, respectively, mean absolute relative error (MARE) of 5.7 per cent and model efficiency of 0.9745.

Keywords

Reference Evapotranspiration, ANN, Levenberg-Marquardt.

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M. S. Supe ¹, S. M. Taley ², M. U. Kale ³

Affiliations
1 Department of Soil and Water Conservation Engineering, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola(M.S.), IN
2 Department of Soil and Water Conservation Engineering, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola(M.S.), IN
3 Department of Irrigation and Drainage Engineering, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola(M.S.), IN

Abstract

Precipitation deficit of wan river basin was assessed using CROPWAT. It also cleared that more or less the effective rainfall was constant around 600 mm over entire basin. Soil moisture deficit decreased from Wari Bhairavgarh to Khatkali i.e. from low to high altitude. There was no precipitation deficit in case of soybean crop whereas it was observed maximum for pigeon pea followed by cotton. Daily soil moisture deficit analysis confirmed that readily soil moisture is available though less than field capacity, to satisfy ETc need of plants up to last decade of September. Thus, two protective irrigations should required during the month of October-November for maintaining optimal growing conditions in the basin.

Keywords

Cropwat, Precipitation Deficit, Pigeaonpea, Cotton, Wan River Basin.

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