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Mani, K.
- Factors Affecting Crop Insurance Adoption Decisions by Farmers in Tamil Nadu
Abstract Views :215 |
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Authors
V. Karthick
1,
K. Mani
1
Affiliations
1 Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore T.N., IN
1 Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore T.N., IN
Source
Agriculture Update, Vol 8, No 3 (2013), Pagination: 399-401Abstract
No AbstractKeywords
Crop Insurance, Adoption, Probit Model, Garrett’s Ranking- Analysis and Enhancement of Speed in Public Key Cryptography using Message Encoding Algorithm
Abstract Views :254 |
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Authors
Affiliations
1 MCA, Jamal Mohamed College, Trichy - 620020, Tamilnadu, IN
2 Computer Science, Nehru Memorial College, Trichy, Tamilnadu, IN
1 MCA, Jamal Mohamed College, Trichy - 620020, Tamilnadu, IN
2 Computer Science, Nehru Memorial College, Trichy, Tamilnadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 16 (2015), Pagination:Abstract
In the world of internet, Cryptography places a vital role as an effective measure to maintain information security. Whenever the security of public key cryptography algorithm increases, the execution speed decreases since both are inversely proportionate. It is mandatory to improve the security without affecting the speed. The main objective of this paper focuses on speed enhancement. Generally the encryption and decryption process is done on each characters of the plain text separately. It is a time consuming process. In this paper, the plain text is being decomposed into blocks to achieve better performance. The characters are to be grouped (Block Cipher mode) into blocks. For grouping of blocks, the plain text is replaced by the binary form of ASCII code. The binary plain text is divided into blocks with fixed size. If the size of block increases, then the execution speed is also increased. The crucial factor is to fix the block size. In some instance, the process of obtaining the plain text (decryption) is affected due to inappropriate block size. To overcome this issue, precise block size is fixed by using the proposed methodology namely Message Encoding Algorithm (MsgEncA). This algorithm is implemented in Java. As a result of proposed algorithm, the appropriate block size is fixed as double of the key size and less than modulus value. The execution speed is also analyzed with different key sizes and file sizes using RSA algorithm. The speed is compared with the existing algorithm namely Short Range of Natural Numbers (SRNN). Even when applied with different key size, the MsgEncA produces better performance with same level of security. An experimental analysis and comparison proves that the execution speed of MsgEncA is better than the existing method. In the aspect of speed, the proposed algorithm can be applied in any public key algorithms.Keywords
Block Cipher, Decryption, Encryption, Message Encoding, Public Key Cryptography- Impact of Credit on Investment in Tissue Culture Banana Cultivating Farms
Abstract Views :264 |
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Authors
S. Padma Rani
1,
K. Mani
2
Affiliations
1 Department of Agronomy, Tamil Nadu Agricultural University, AICRP-IFS, COIMBATORE (T.N.), IN
2 Department of Intellectual Property Rights, Tamil Nadu Agricultural University, COIMBATORE (T.N.), IN
1 Department of Agronomy, Tamil Nadu Agricultural University, AICRP-IFS, COIMBATORE (T.N.), IN
2 Department of Intellectual Property Rights, Tamil Nadu Agricultural University, COIMBATORE (T.N.), IN
Source
International Research Journal of Agricultural Economics and Statistics, Vol 7, No 1 (2016), Pagination: 7-14Abstract
Agriculture Credit became increasingly important especially when the cultivators adopt modern technology, huge farm investments which required more finance than the traditional method of farming. There should be a balance between investment credit along with production credit for agricultural growth. Less availability of production or investment credit adversely influences the adoption of new modern technology and agricultural investments, which in turn lowers the productivity and production, and also pushes the farmers to borrow from non-institutional sources. The study is based on primary data collected from a sample of farm households comprised of two different groups, namely (i) borrower, (ii) non-borrower. The borrowers where again classified into two groups, (i) Conventional variety of banana (Nendran, Kadali, and Poovan) growers, (ii) Tissue culture banana (G9) growers comprising of Short Term and Long Term loan borrowers. Under each of above categories, forty five sample farm households with a total of 180 samples respondents were surveyed. The impact of credit on farm investment was assessed by comparing the category of long term borrowers growing tissue culture growing farms with that of non-borrower cum non adopter farms. Logit model was used for analyzing the effects of long term credit on farm investment. Results of the Logit regression model revealed that the net operated area, long term loan amount, education level, family size, and previous investment by farmer are significantly influencing on investment behaviour of banana growing farmers. Positive co-efficient for farm size indicated the farmer's ability to access the investment loans for making farm investment by pledging land as the security. The term loan amount, net operated area and previous investment had shown positive effect on investment.Keywords
Short Term Credit, Term Loan, Investment, Logit Model, Marginal Effect.References
- Awasthi, Arvind (2007). Production and investment credit of scheduled Commercial Banks in India: Need for a systemic approach. Indian J. Agric. Econ., 62 (3) : 314320.
- Dhawan, B.D. and Yadav, S.S. (1995). Private fixed capital formation in agriculture- Some aspects of Indian farmer’s investment behaviour. Econ. & Political Weekly, 30 (39): 103-109.
- Golait, R. (2007). Current issues in Agriculture Credit in India: An Assessment”, RBI Occasional Papers, 28: 79-100.
- Gujarati, D.N. (2005), Basic econometrics, 4th Ed. Mac GrawHill Publishers, New Delhi. 297 p.
- Kohansal, M.R., Ghorbani, M. and Mansoori, H. (2008). Effect of credit accessibility of farmers on agricultural investment and investigation of policy options in Khorasan-Razavi Province. J. Appl. Sci., 8 (23) : 4455-4459
- Naidu, V.B. and Sankar, A.S. (2007). Factors influencing agricultural credit: A Case Study. Southern Economist, 46(8): 28-30
- Rao, C.H.H. (1994). Issues Relating to Irrigation and Rural Credit in India", In G. S. Bhalla (ed.), Economic Liberalization and Indian Agriculture. New Delhi: Institute for Studies in Industrial Development.
- Roy, B.C. and Pal, Suresh (2002). Investment, agricultural productivity and rural poverty in India: A State-Level Analysis. Indian J. Agric. Econ., 57 (4) : 653-678.
- Vaidyanathan, A. (1991). Emerging Issues in Policy Planning, The Economic Times, March 11, 1991.
- District Wise Performance of Different Crop Insurance Products in Tamil Nadu
Abstract Views :259 |
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Authors
Affiliations
1 Department of Agricultural Economics, Centre for Agricultural and Rural Development Studies, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
1 Department of Agricultural Economics, Centre for Agricultural and Rural Development Studies, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
Source
International Research Journal of Agricultural Economics and Statistics, Vol 7, No 1 (2016), Pagination: 53-55Abstract
Insurance is a technique where losses suffered by few are met from funds accumulated through small contributions made by many who are exposed to similar risk. Crop insurance is a means to protecting the cultivators against financial loss on account of anticipated crop-loss arising out of practically all natural factors beyond their control such as natural fire, weather, floods, pests, diseases etc. with respect to National Agricultural insurance scheme, Nagapattinam district is having 22.31 percentage of farmers, thus it ranks first in the performance of NAIS in Tamil Nadu. With respect to Modefied National Agricultural Insurance scheme Sivagangai district is having 73190 number of farmers and its having nearly 72 percentage of farmers in Tamil Nadu. In case of Coconut palm insurance scheme Karur district is having 524 number of farmer which accounts for nearly 42 percentage of total farmers in Tamil Nadu, with respect to Weather Based crop Insurance scheme Ariyalur district of Tamil Nadu has maximum number of farmer covered under this scheme and its is having 5432 number of farmers and its accounted nearly 97 percentage of total farmers in Tamil Nadu.Keywords
NAIS, MNAIS, WBCIS, CPIS.References
- AIC (2006). www.aicofindia.org, Agricultural Insurance Company of India Ltd, New Delhi, accessed in January, 2007.
- Bhende, M.J. (2005). Agricultural insurance in India: Problems and prospects, NABARD Occasional Paper No. 44.
- Dandekar, V.M. (1985). Crop insurance in India : A review, 197677 to 1984-85, Economic & Political Weekly, 20(25&26;): A-46 to A-59.
- Government of India (2006). Agricultural Statistics at a Glance, New Delhi: Directorate of Economics and Statistics, Ministry of Agriculture. 208 p.
- Government of India (2006). National Accounts Statistics, New Delhi: Ministry of Statistics and Programme Implementation, Central Statistical Organisation. 133 p.
- Government of India (2006-07). Economic Survey, New Delhi : Ministry of Finance, Economic Division. 173 p.
- Planning Commission (2007). Report of Working Group on Risk Management in Agriculture for XI Five-Year Plan (20072012), New Delhi.
- Raju, S.S. and Chand, Ramesh (2007). Progress and problems in agricultural insurance. Economic & Political Economy, 42 (21) : 1905-1908.
- Vyas, V.S. and Singh, Surjit (2006). Crop Insurance in India Scope for improvement, Economic & Political Weekly, 41 (43/44) : 4585-4594.
- Cost, Returns and Economic Viability of Cashew Plantations in Tamil Nadu
Abstract Views :327 |
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Authors
Affiliations
1 Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
2 Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
3 Department of Agriculture, Vellore (T.N.), IN
4 Department of Agricultural Entomology, Adhiparasakthi Agricultural College, Kalavai (T.N.), IN
1 Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
2 Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
3 Department of Agriculture, Vellore (T.N.), IN
4 Department of Agricultural Entomology, Adhiparasakthi Agricultural College, Kalavai (T.N.), IN
Source
International Research Journal of Agricultural Economics and Statistics, Vol 7, No 1 (2016), Pagination: 76-85Abstract
Cashew cultivation in India dates back to over 400 years, when the Portuguese who arrived in Kerala in the 16th century introduced it. Initially it was cultivated to arrest soil erosion, afforestation and wasteland development programmes, but later it becomes an important cash crop. The total area under cashew in the world was 35.12 lakh hectares during 2009. In terms of area under cultivation, India ranked first with 8.93 lakh hectares constituting about one - fourth of the area under cashew in the world. To find out the costs and returns of the cashew cultivation among dry cashew cultivated farmers and irrigated cashew cultivated farmers. To estimate the economic viability of dry cashew/irrigated cashew plantations. Cashew was being cultivated as a dry crop in Cuddalore and Ariyalur districts to a larger extent. In Pudukkottai district, cashew was cultivated as both irrigated and dry crop and obviously the yield under dry condition was lesser than that of cashew grown under irrigated conditions. In the next stage, top six villages were purposively selected for the study. In each of the selected villages, 10 cashew growers were randomly selected. However, in Gandharvakkottai block of Pudukkottai district, cashew was cultivated as dry crop, while it was raised as an irrigated crop in Alangudy block of Pudukkottai district. Therefore, 30 dry cashew farms in Gandharvakkottai block and 30 irrigated cashew farms in Alangudy block were selected for the study. Thus, totally 150 dry cashew farms and 30 irrigated cashew farms were selected. Cost and returns like (i) Establishment costs and (ii) Maintenance costs were worked out. Yield and returns like, the yield and prices realized by the growers for the nuts were used to calculate the gross returns, net returns and the returns per hectare of cashew plantation. Economic viability of dry cashew varieties/irrigated cashew varieties the capital budgeting techniques like Net Present Value (NPV), Benefit Cost Ratio (BCR) and Internal Rate of Return (IRR) were employed to assess the economic viability of cashew farms and also for cashew processing units. The gross returns were also more in irrigated farms (Rs. 43650) than that of the dry farms (Rs. 33288). The output-input ratio was 1.85, 2.03 for dry cashew farms, irrigated cashew farms, respectively. These would indicate the high profitability of cashew production was found only in irrigated farms and this was achieved by gap filling and following modern farming techniques. The Net Present Value was higher for irrigated farms (Rs. 80,027) than that of the dry farms (Rs. 57,911). In case of Benefit Cost Ratio, irrigated farms had higher ratio of 2.28 than that of the dry farms 2.03. Similarly, the Internal Rate of Return was also more for irrigated farms (42 %) when compared to that of the dry farms (37 %). This would highlight that the cashew plantation would be a financially worthwhile venture in the study area and there is a vast potential for taking up the cultivation of high yielding varieties of cashew plantation, especially in the irrigated conditions of Pudukkottai district of Tamil Nadu.Keywords
Cashew Nut, Cost and Returns, Establishment Costs, Maintenance Costs, Economic Viability, Net Present Value (NPV), Benefit Cost Ratio (BCR), Internal Rate of Return (IRR).References
- Balasubramanian, D. (2001). Cashew processing Industries in Kerala, (Quilon and Calicut). The Cashew, 15(2): 28-35.
- Balasubramanian, D. (2001). Cashew Processing Industries in India, (Overall analysis). The Cashew, 15(2): 14-20.
- Balasubramanian, D. (2002). Performance of Cashew nut Processing in Mozambique. Agric. Mechanization Asia, Africa & Latin America, 33(2): 67-70.
- Horticulture at a Glance (2008-09). Joint Director of Agriculture office, Pudukkottai district.
- Indian Cashew Statistics (2010). Cashew nut Export Promotion Council, Cochin.
- Season and Crop Report of Tamil Nadu (2008-09) (Fasli1418), Department of Economics and Statistics, Chennai, T.N. (INDIA).
- Selvarajan, M. and Dharmalingam, V. (1998). Production technologies for cashew for different agro climatic tracts of Tamil Nadu. The Cashew, 12(3): 93-102.
- Selvaraj, K.N. and Sundaravaradarajan, K.R. (1999). Cashew cultivation- problems, prospects and opportunities. Abstract of 19th Annual conference of Association of Economists of Tamil Nadu and Pondicherry, Department of Economics, pp. 20-21.
- Sundaravaradarajan, K.R. and Jahanmohan, K.R. (2002). Marketing cost, margin, price spread and marketing efficiency of cashew in Tamil Nadu. Agric. Situ. India, 59(1) : 9-16.
- A Comparative Study on Financially Included and Financially Excluded Farmers in Coimbatore District of Tamil Nadu
Abstract Views :381 |
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Authors
Affiliations
1 Department of Agricultural Economics, Tamil Nadu Agricultural University, COIMBATORE (T. N.), IN
2 Department of Agricultural Economics, Tamil Nadu Agricultural University, COIMBATORE (T. N.), IN
1 Department of Agricultural Economics, Tamil Nadu Agricultural University, COIMBATORE (T. N.), IN
2 Department of Agricultural Economics, Tamil Nadu Agricultural University, COIMBATORE (T. N.), IN
Source
International Journal of Commerce & Business Management, Vol 9, No 1 (2016), Pagination: 73-76Abstract
Financial inclusion was first featured - 2005 in India. 73 per cent of farmer households have no access to formal sources of credit from both formal/ informal sources. Of the total farmer households, only 27 per cent access formal sources of credit. Across regions, financial exclusion is more acute in Central, Eastern and North-Eastern regions. All three regions together accounted for 64 per cent of all financially excluded farmer households in the country.Keywords
Financial Inclusion, Financial Exclusion, Financial Inclusive Index, Kissan Credit Card, Cropping Intensity.References
- Chakravarty, Satya, R. and Pal, Rupayan (2010). Measuring financial inclusion: An axiomatic approach, IGIDRWP2010-003, Indira Gandhi Institute of Development Research, India.
- Claessens, S. and Perotti, E. (2007). Finance and inequality: Channels and evidence, J. Comparat. Econ., 35(4): 748–773.
- Clarke, George R. G.,Xu, Lixin C. and Zou, H. (2006). Finance and income inequality: What Do the Data Tell Us Southern Econ. J., 72(3) : 578-596.
- Datt, G. and Ravallion, M. ( 2002) . Is India’s economic growth leaving the poor behind? J. Econ. Perspect., 16(3) : 89 – 108.
- Deaton, A. and Drèze, J. (2002). Poverty and Inequality in India – A Re-examination. Econ. & Polit. Weekly, 37 (36) : 3729–3748.
- Sahu, Kabita Kumari (2013). Commercial Banks, Financial Inclusion and Economic Growth in India, Internat. J. Business & Mgmt. Invention ., 2(5) : 1-6.
- Improving Architecture Level Performance of Web Application Based on Middleware Technology
Abstract Views :138 |
PDF Views:3
Authors
Affiliations
1 Christian College of Engineering and Technology, Oddanchatram-Dindigul, IN
2 Sathyabama University, Channai, IN
1 Christian College of Engineering and Technology, Oddanchatram-Dindigul, IN
2 Sathyabama University, Channai, IN
Source
Software Engineering, Vol 3, No 4 (2011), Pagination: 176-181Abstract
A web application is a software system that contains the computing and networking technologies required for use through web browsers on the Internet Web application. The fundamental feature of web applications is that its behavior is specified by the interaction between the environment and the system. One of the major platforms to build web applications is J2EE based on the MVC model such as Struts Framework. Struts framework based on MVC has brought the best code reuse and the legible code structure in entire system by far, but it has some problems such as complicated program, high coupling among layers and hard maintenance because its model part adopts JDBC to connect databases directly. In this paper we propose middleware technology such as Struts2 based on MVC2, Spring and Hibernate Frameworks which is the kernel and key to the simplify the software development, improve the software performance and quickly construct the Web Application of the good expansibility, maintainability. This Framework is analyzed on designing E-Commerce System.Keywords
Middleware, MVC2, Struts2, Spring , Hibernate.- Inventory and Situation Analysis of Land Resources for Sustainable Agriculture in Tamil Nadu
Abstract Views :253 |
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Authors
M. Chinnadurai
1,
S. Muraligopal
2,
D. Suresh Kumar
3,
K. R. Karunakaran
2,
K. Mani
2,
K. Rajendran
2,
P. Asha Priyanka
2
Affiliations
1 Centre for Agricultural and Rural Development Studies, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
2 Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
3 Forest College and Research Institute (T.N.A.U.), Mettuppalyam (T.N.), IN
1 Centre for Agricultural and Rural Development Studies, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
2 Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
3 Forest College and Research Institute (T.N.A.U.), Mettuppalyam (T.N.), IN
Source
International Journal of Agricultural Sciences, Vol 15, No 1 (2019), Pagination: 48-55Abstract
Rapid land use change has taken place in Tamil Nadu over the past three to four decades due to accelerated cultivation, industrialization and urbanization. Growth of population influenced increased food requirements. In order to meet the basic requirements, the Government has planned to increase the irrigation facilities and the agricultural inputs, (High yielding varieties (HYV), seeds, agricultural implements etc.) to the farmers and also implement the interventional schemes and incentives to enhance farmer’s income. Land use change may be examined by considering conversion of forest to crop and rangeland; losses of productive land through various factors; conversion of wetlands to agriculture and urban use: and conversion of other types of land to various human uses. The key to meet the present day challenges lies in the integrated management of the natural resources. Therefore, the knowledge of soil and land resources with respect to their spatial distribution, characteristics, potentials, limitations and their suitability for alternate land uses helps in formulating strategies to obtain higher productivity on sustained basis. With these views in mind an attempt has been made to study the spatial and temporal changes in the land use in Tamil Nadu.Keywords
Land Use Pattern, Land Resources Inventory, Size-Holding, Land Degradation.References
- Bardhan, D. and Tewari, S.K. (2010). An investigation into land use dynamics in India and land under – utilisation, Indian J. Agric. Econ., 65 (4) : 658 – 676.
- Feng, Yinjie and Segarra, Eduardo (1992). Forecasting the use of irrigation systems with transkion probabilkies in texas. Texas J. Agric. & Nat. Res., 5 : 59-66.
- Kumar. D.S. and Palanisami, K. (2010). Impact of drip irrigation on farming system: Evidence from Southern India. Agric. Econ. Res. Rev., 23: 265-272.
- Mirkatouli, J., Hosseini, A. and Neshat, A. (2015). Analysis of land use and land cover spatial pattern based on markov chains modelling. city, Territory & Architecture, 2(4): 1-9.
- Tan, R., Beckmann, V., Van den, Berg L. and Qu, F. (2009). Governing farmland conversion: Comparing China with the Netherlands and Germany, Land Use Policy, 26 (4) : 961 – 974.
- Viswamohan (2013).Cultivable land continues to shrink, http://articles. Times of India, indiatimes.com/2013-08-16/India/41417148 1 cultivable-land-non-agricultural-purposes-agricultural-land. Retrieved 17/11/2013.
- A Study on Agricultural Credit in Adoption of Technology in Banana Cultivating Farms in Tamil Nadu
Abstract Views :474 |
PDF Views:1
Authors
Affiliations
1 Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
1 Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
Source
International Research Journal of Agricultural Economics and Statistics, Vol 10, No 2 (2019), Pagination: 194-200Abstract
Agriculture as a primary sector continues to play a dominant role in increasing the growth and development of Indian economy and it is important to revitalize the agricultural sector, for which agricultural investment flow is necessitated in the agriculture sector. In order to increase the investment flow to agriculture sector, institutional credit has contributed greatly right from the ‘Green Revolution Period’. Agricultural credit helps farmers to go for short-term credit for purchase of high cost inputs and other services and for making investment on capital assets with the support of long term credit facility. Further, for adoption of new technological inputs and enhancing farm productivity farm finance becomes inevitable. Probit model was used to find out the impact of credit on technology adoption. The probit analysis was done between short term borrowers, growing tissue culture (technology adopter) and conventional varieties of growing banana (technology non adopter). Independent variables included in the model were: age, education, experience, amount of credit borrowed, family size, number of extension contacts, farm size ,total farm income and distance to formal and informal financial institution probit model was used for evaluating the factors determining adoption of tissue culture banana- a new technology in banana cultivation among sample respondents. The co-efficient of credit amount borrowed was 0.05 which implied that increase in credit amount by one unit would increase 5 per cent in the probability of adoption of tissue culture technology. The marginal effect of credit amount borrowed was 0.36 which showed that an unit increase in the amount borrowed would result in 36 per cent increase in technology adoption. And also the study found out that Increase in farm income and extension agency contact have positive effect on technology adoption.Keywords
Agricultural Credit, Technology Adoption, Marginal Effect.References
- Benjamin, Okpukpara (2010). Credit constraints and adoption of modern cassava production technologies in rural farming communities of Anambra state, Nigeria, African J. Agric. Res., 5 (24) : 3379-3386.
- Devaraja, T.S. (2011). An analysis of institutional financing and agricultural credit policy in India, Working paper supported by a grant from the University Grants Commission of India
- Gujarati, D.N. (2005), Basic econometrics, 4thEd. Mac GrawHill Publishers, New Delhi. 297 pp.
- Maheswari, R., Ashok, K.R. and Prahadeeswaran, M. (2008). Precision farming technology, adoption decisions and productivity of vegetables in resource-poor environments, Agric. Econ. Res. Rev., 21 : 415-424.
- Rajeswari, S. and Sastry, Neelakanta (2011). Impact of external finance on farm returns and employment in Kadapa district, Andhra Pradesh, Financing Agriculture, 43(9): 6 .
- Samantara, Samir and Badatya, K.C. (2010). A perspective on agricultural credit for 2020.
- Tamil Nadu State focus Paper, NABARD, 2016.
- Tiamiyu, S.A., Akintola, J.O. and Rahji, M.A.Y. (2009). Technology adoption and productivity difference among growers of new rice for Africa in Savanna zone of Nigeria, Tropicultura, 27 (4): 193-197.