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Uma Gowri, M.
- Determine Optimal Crop Planning under Conditions of Water Risk in Namakkal District of Tamil Nadu
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Authors
Affiliations
1 PGP College of Agricultural Sciences, NAMAKKAL (T.N.), IN
2 Department of Agricultural Economics, Tamil Nadu Agricultural University, COIMBATORE (T.N.), IN
1 PGP College of Agricultural Sciences, NAMAKKAL (T.N.), IN
2 Department of Agricultural Economics, Tamil Nadu Agricultural University, COIMBATORE (T.N.), IN
Source
International Research Journal of Agricultural Economics and Statistics, Vol 6, No 2 (2015), Pagination: 242-248Abstract
Water is a critical input for success of agriculture and its ever widening technology creation. Water scarcity as a risk has always been a part of agriculture and farm business. Hence, management of available irrigation water assumes great importance in the field of agriculture. The present study was attempted in Namakkal district of Tamil Nadu, India, because of the availability of exclusive dry farms. In Namakkal district, blocks namely Namakkal, Mohanur, Pudhuchatram, Tiruchengode for each risky crop were purposively selected on the basis of area, production and productivity of those crops. Linear programming model was applied to derive optimal crop plan for the sample farms under water stress conditions. Optimization of crop portfolio for the selected farm is a type of risk management strategy. The decline in gross cropped area in Namakkal block would imply relatively less pressure on land that would again indicate the sign of bringing in sustainability of the productive capacity of the land. Even though the decline trend in net income, it showed that the resources which were used in the cultivation as efficiency factor in Pudhuchatram. The results indicated that water and other resources were used efficiently to get optimum pattern in the cultivation of different crops.Keywords
Water Stress, Resource Use, Farm Size, Linear Programming, Optimization.- Forecast of Banana-An Economic Analysis
Abstract Views :187 |
PDF Views:0
Authors
M. Uma Gowri
1,
B. Kavitha
2
Affiliations
1 Centre for Agricultural and Rural Development Studies, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
2 Department of Agricultural Economics, P.G.P. College of Agricultural Sciences, Namakkal (T.N.), IN
1 Centre for Agricultural and Rural Development Studies, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
2 Department of Agricultural Economics, P.G.P. College of Agricultural Sciences, Namakkal (T.N.), IN
Source
International Journal of Forestry and Crop Improvement, Vol 7, No 1 (2016), Pagination: 132-136Abstract
The banana is an edible fruit, botanically a berry, produced by several kinds of large her baceous flowering plants in the genus Musa. Banana is a globally important fruit crop with 97.5 million tones of production. In India it supports livelihood of millions of people with total annual production of 16.91 million tones from 490.70 thousand ha. with national average of 33.5 T/ ha. Banana contributes 37 per cent to total fruit production in India. Forecasting tools was used study of banana in Tamil Nadu. According to the MAPE value ARIMA method is most appropriate method for forecasting in banana. The cost and returns analysis reveals that higher net returns was realized in Nendran variety.Keywords
Banana, Forecating Tools, Exponential Smoothing, ARIMA Model.- Data Envelopment Anaylsis in Estimating Economic Efficiency of Farm Credit for Adopting Good Agricultural Practices in Mango Cultivation in Tamil Nadu, India
Abstract Views :130 |
PDF Views:66
Authors
Affiliations
1 Department of Agricultural Economics, Centre for Agriculture and Rural Development Studies, Tamil Nadu Agricultural University, Coimbatore 641 003, IN
2 Kalasalingam School of Agriculture and Horticulture, Kalasalingam Academy for Research and Education, Krishnan Kovil, Virudhunagar 626 126, IN
1 Department of Agricultural Economics, Centre for Agriculture and Rural Development Studies, Tamil Nadu Agricultural University, Coimbatore 641 003, IN
2 Kalasalingam School of Agriculture and Horticulture, Kalasalingam Academy for Research and Education, Krishnan Kovil, Virudhunagar 626 126, IN
Source
Current Science, Vol 125, No 7 (2023), Pagination: 758-764Abstract
Good agricultural practices (GAPs) in mango production are essential to enable farm produce to be internationally competitive with sufficient institutional credit. Economic efficiency of 0.45 and 0.68 respectively for conventional and GAP farms in Krishnagiri district of Tamil Nadu, India implies that there is scope to increase mango output by 55% and 32% respectively, by optimum allocation of resources. The highest return invested by GAP borrowers might be due to efficient use of resource and GAPs. The extension workers should develop strategies to increase income through adoption of GAPs, efficient use of resources and strengthening the loan delivery mechanism to enhance mango production.Keywords
Data Envelopment Analysis, Economic Efficiency, Farm Credit, Good Agricultural Practices, Mango Cultivation.References
- https://nhb.gov.in/StatisticsViewer.aspx?enc=MWoUJibk35dW2g-36TUJWAoZqESmAYFi7h2irlsmjlINTcFl1rG/kLbq8ZQbWUvuM#. (accessed on 27 April 2021).
- GoI, Horticulture sector can play an important role in doubling farmers’ income. Ministry of Agriculture and Farmers Welfare, Government of India, 10 May 2021; https://pib.gov.in/PressRelease-Page.aspx?PRID=1717447.
- Tiwari, A., Afroz, S. B. and Kumar, V., Market vulnerabilities and potential of horticulture crops in India: with special reference to top crops. Indian J. Agric. Mark., 2021. 35(3), 1–20.
- Kumar, A., Singh, D. and Kumar, P., Performance of rural credit and factors affecting the choice of credit sources. Indian J. Agric. Econ., 2010, 62(3), 297–313.
- Satyasai, K. J. S. and Tiwari, A., Rural credit: can we make it more inclusive? In 23rd Annual Conference of SSCA, ICAR National Academy of Agricultural Research Management, Hyderabad, Telangana, Special Proceedings: ISBN: 978-81-950383-0-5, 2021, pp. 143–160; https://www.nabard.org/auth/writereaddata/tender/2609-223632can-we-make-rural-credit-inclusive.pdf.
- Rajan, S., Mango – the king of fruits. Indian Hortic., 2021, 66(4).
- https://pib.gov.in/PressReleaseIframePage.aspx?PRID=1717447 (accessed on 11 February 2023).
- G-return data at block level. Integrated Agriculture Extension Centre, Collector Campus, Krishnagiri District, 2020–2021.
- Charnes, A., Cooper, W. W. and Rhodes, E., Measuring the efficiency of decision making units. Eur. J. Oper. Res., 1978, 2, 429–444.
- Ferguson, C. E., Micro Economic Theory, The Irwin Series in Economics, Homewood, Illinois, R. D. Irwin, Inc, University of Michigan, 1966, vol. XIV, p. 439.
- Farrell, M. J., The measurement of productive efficiency. J. R. Stat. Soc. Ser. A, 1957, 120, 253–281.
- Aigner, D. J. and Chu, S., On estimating the industry production function. Am. Econ. Rev., 1968, 58(4), 826–839.
- Timmer, C. P., Using probabilistic frontier production function to measure technical efficiency. J. Polit. Econ., 1971, 79(4), 776–794.
- Ferrier, G. and Lovell, K., Measuring cost efficiency in banking: econometric and linear programming evidence. J. Econ., 1990, 46, 229–245.
- Forsund, F., A comparison of parametric and non-parametric efficiency measures: the case of Norwegian ferries. J. Prod. Anal., 1992, 3(1), 25–44.
- Sherman, H. D. and Zhu, J., Improving service performance using data envelopment analysis (DEA). In Service Productivity Management, Springer, New York, 2006, vol. XXII, p. 328, ISBN: 978-0-387-33211-6.
- Tudi, M. et al., Agriculture development, pesticide application and its impact on the environment. Int. J. Environ. Res. Public Health, 2021, 18(3), 1112; doi:10.3390/ijerph18031112.
- Umanath, M. and David Rajasekar, D., Estimation of technical, scale and economic efficiency of paddy farms: a data envelopment analysis approach. J. Agric. Sci., 2013, 5(8), 243–251.