Refine your search
Collections
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Thirunavukkarasu, M.
- Demand for Public vs. Private Livestock Services in South India: a Double Hurdle Analysis
Abstract Views :365 |
PDF Views:87
Authors
Affiliations
1 Deptt. of Animal Husbandry Statistics &Computer Applications, Madras Veterinary College, Chennai–600007, IN
2 Veterinary University Training and Research Centre, Coimbatore – 641 035, IN
3 Directorate of Extension Education, TANUVAS, Chennai – 600 051, IN
1 Deptt. of Animal Husbandry Statistics &Computer Applications, Madras Veterinary College, Chennai–600007, IN
2 Veterinary University Training and Research Centre, Coimbatore – 641 035, IN
3 Directorate of Extension Education, TANUVAS, Chennai – 600 051, IN
Source
Indian Journal of Science and Technology, Vol 2, No 2 (2009), Pagination: 55-62Abstract
The demand for public and private livestock services was measured by counts of utilisation, in southern peninsular State of India, Tamil Nadu for which the districts of the State were categorized as 'Livestock Developed' (LD) and 'Livestock Under Developed' (LUD) based on initial base line. A double process approach, that envisaged to distinguish the contact process (to access to specific provider or not?) from utilisation (given that the first answer was YES, how much was consumed? That is, whether the contact was by chance or by choice) was used to analyse the factors influencing the demand for public and private livestock services. The hurdle models for animal health care and bovine breeding services were estimated by employing a Probit model and a truncated-at-zero Poisson model. The analysis pointed out that the likelihood of availing services of public system would become low as the distance of the centre from home increased, leading the farmers to choose private animal health care services. The farmer whose dependency on livestock for livelihood is more had lesser probability of contacting public service provider which indirectly indicates the level of their faith on public system. The demand for public animal health care services was less in LD districts, while their demand was more in LUD districts. Contrastingly, the farmers in LD districts preferred AI at public centres, while their counterparts in LUD districts preferred private AI.Keywords
Livestock Services, Demand, Hurdle Model, Animal Health Care, AI, Tamil NaduFull Text
References
- Ahuja V, George PS, Ray S, McConnell KE, Kurup MPG, Gandhi V, Umali D and De Haan C (2000) Agricultural services and the poor: Case of livestock health and breeding services in India, IIM, Ahmedabad; The World Bank, Washington, DC and Swiss Agency for Development and Cooperation, Bern. pp:1-48.
- Beynon J, Akroyd S, Duncan A and Jones S (1998) Financing the future: Options for agricultural research and extension in sub-Saharan Africa. Oxford Policy Management, Oxford.
- Fabbri D and Monfardini C (2002) Public Vs. private health care services demand in Italy. Working paper, Department of economics, Bologna, Italy. Pp: 1-21.
- FAO (1998) Principles for rational delivery public and private veterinary services with reference to Africa.
- GOI (1996) National livestock policy perspective: Report of the steering group. Ministry of Agriculture, New Delhi.
- Heineck G (2004) Religion, attitudes towards working mothers and wives' full-time employment: Evidence for Austria, Germany, Italy, the UK, and the US’ ÖIF. Working Paper No.39- 04. Department of Economics, University of Granada, Spain.
- Holden S, Ashley S and Bazeley P (1996) Improving the delivery of animal health services in developing countries: A literature Review, Livestock in Development, Somerset, UK.
- Leonard DK (1990) Research proposal on the organisation of animal health services in Africa. Paper presented at the international livestock centre for Africa. Addis Ababa.
- Leonard, D.K., 1993. Structural reform of the veterinary profession in Africa and the new institutional economics. Development and Change, 24: 227-267.
- Long S (1997) Regression models for categorical and limited dependent variables. Thousand Oaks, Sage Publications, Calif.
- Mullahy J (1986) Specification and testing of some modified count data models. J. Econometrics. 33, 341-365.
- Noronha KVMS and Andrade MV (2002) Social inequality in the access to health care services in Brazil. Discussion paper No. 172, Cedeplar/Face/Ufmg, Belo Horizonte. pp: 1-41.
- Pigou AC (1946) The Economics of Welfare. 4th Ed. Macmillan.
- Prabaharan R (2000) Livestock– research investment crucial. The Hindu Survey of Indian Agriculture, The Hindu, Chennai. pp:137–140.
- Selvakumar KN, Meganathan N, Prabu M and Palanichamy V (2002) Assessment of research priorities for livestock sector in Tamil Nadu. Report submitted to National Center for Agricultural Economics and Policy Research, New Delhi; Department of AH Economics, Madras Veterinary College, Tamil Nadu Veterinary and Animal Sciences University, Chennai- 51. pp:1-38.
- Tambi NE, Mukhebi WA, Maina WO and Solomon HM (1999) Probit analysis of livestock produces’ demand for private veterinary services in the high potential areas of Kenya. Agricultural Systems. 59, 163-176.
- Umali DL, Feder G and De Haan C (1994) Animal health services: Finding the balance between public and private delivery. The World Bank Research Observer. 9(1), 71-96.
- Economic Losses Due to Enterotoxaemia in Sheep
Abstract Views :421 |
PDF Views:70
Authors
Affiliations
1 Dept. of Animal Husbandry Economics, Veterinary College & Research Institute, Namakkal - 637 001, IN
2 Dept. of Animal Husbandry Statistics and Computer Applications, Madras Veterinary College, Chennai – 600 007, IN
1 Dept. of Animal Husbandry Economics, Veterinary College & Research Institute, Namakkal - 637 001, IN
2 Dept. of Animal Husbandry Statistics and Computer Applications, Madras Veterinary College, Chennai – 600 007, IN
Source
Indian Journal of Science and Technology, Vol 1, No 6 (2008), Pagination: 1-3Abstract
A study was conducted to estimate the economic losses due to enterotoxaemia and to analyse the factors influencing those losses. The data were collected from the sample of 42 enterotoxaemia-affected sample sheep farms randomly selected from 6 blocks in Dharmapuri district of Tamil Nadu. The average annual economic loss due to enterotoxaemia was estimated to be Rs.2161.00, Rs.4039.58 and Rs.4792.74 in small, medium and large farms respectively, in which the loss due to mortality formed the greater proportion with around 94 per cent in all size categories. The overall per animal loss due to enterotoxaemia in ram, ewe and lamb was Rs.1142.50, Rs.856.70 and Rs.364.00 respectively. As all the affected animals died, the economic loss involved was just more than the value of animals lost, considering the treatment cost. The regression functional analysis carried out indicated that the variables such as the number of adults affected, number of young ones affected, season during which the disease occurred and whether regular deworming was done or not were all found to be significantly influencing the losses due to enterotoxaemia.Keywords
Enterotoxaemia, Livestock, Sheep, IndiaFull Text
References
- Harbola, PC and Uppal PK (1981) Incidence of enterotoxemia due to different types of C. perfringens in sheep and goats. Indian J. Comp. Microbiol. Immunol. Infect. Dis. 2, 24- 25.
- Mathur PB and Dubey SC (1994) Infectious diseases. Sheep and goat diseases. ICAR, New Delhi. p. 25.
- Incorporation of a Secondary Wheel Assembly using Novel Zigbee based Traction Control System for Vehicle Stability during Tire Blow-Outs
Abstract Views :228 |
PDF Views:100
Authors
Affiliations
1 Dept. of Auto. Engg., Dr. Mahalingam College of Engg. and Tech., Pollachi, Tamil Nadu, IN
2 Dept. of Electronics and Instrumentation Engg., Dr. Mahalingam College of Engg. and Tech., Pollachi, Tamil Nadu, IN
1 Dept. of Auto. Engg., Dr. Mahalingam College of Engg. and Tech., Pollachi, Tamil Nadu, IN
2 Dept. of Electronics and Instrumentation Engg., Dr. Mahalingam College of Engg. and Tech., Pollachi, Tamil Nadu, IN
Source
International Journal of Vehicle Structures and Systems, Vol 10, No 6 (2018), Pagination: 407-410Abstract
Tire blow-outs or puncture during the operation of the vehicle is one of the major ischolar_main causes of road accidents. The drivers lose his/her control of the steering wheel when the tire get punctured or busted leading towards loss of stability of the vehicle causing adverse effects to the vehicle and the passenger. Due to the rapid change in the pressure range within the tyres, the rim of the wheels come in contact with the road surface causing loss of traction and stability of the vehicle leading to accidents. Despite, the rapid advancements witnessed in the field of automobile industry stating from autonomous vehicles to electronic stability unit, a proper solution addressing the issue of accidents caused due to tire blow-outs remains unanswered. In this proposed study, automatic activation of an additional secondary wheel/roller assembly mounted to the chassis using a custom made Zigbee based smart traction system in order to address the traction and stability issues based on the real-time pressure of the tyre is presented. The real-time pressure of the wheels is monitored by the control system which then decides on scheduling the activation of the secondary wheel/roller assembly using a battery operated pneumatic system which will prevent the vehicle from losing its stability. The proposed traction control system consisting of the secondary roller assembly could also be considered as a lifesaving add-on to the passenger vehicle and a replacement for the wheel replacement jack emphasising the market demand of the proposed solution which is a robust and a cost-effective solution.Keywords
Feasibility Analysis, Wheel Assembly, Tire Blow-Outs, Vehicle Stability, ZigBee.Full Text
References
- K.Y. Patil and E.R. Deore. 2015. Stress analysis of ladder chassis with various cross sections, Int. Organization of Scientific and Research J. Mech. and Civil Engg., 12(4), 111-116.
- K. Ahn and S. Yokota. 2005. Intelligent switching control of pneumatic actuator using on/off solenoid valves, Mechatronics, 15, 683-702. https://doi.org/10.1016/j.mechatronics.2005.01.001.
- T. Nguyen, J. Leavitt, F. Jabbari and J.E. Bobrow. 2007. Accurate sliding-mode control of pneumatic systems using low-cost solenoid valves, IEEE/ASME Trans. Mechatronics, 12(2), 216-219. https://doi.org/10.1109/TMECH.2007.892821.
- N. Sriskanthan, F. Tan and A. Karande. 2002. Bluetooth based home automation system, Microprocessors and Microsystems, 26(6), 281-289. https://doi.org/10.1016/S0141-9331(02)00039-X.
- B. Najjari, S.M. Barakati and A. Mohammadi. 2012. Modelling and controller design of electro-pneumatic actuator based on PWM, Int. J. Robotics and Automation, 1, 125-136. https://doi.org/10.11591/ijra.v1i3.565.
- S. Liu and J.E. Bobrow. 1988. An analysis of a pneumatic servo system and its applications to a computer-controlled robot, ASME J. Dynamic Systems, Measurements and Control, 110, 228-235. https://doi.org/10.1115/1.3152676.
- Hidden Markov Modeling for Sorghum Crop Production
Abstract Views :242 |
PDF Views:2
Authors
Affiliations
1 Department of Community Medicine, Sri Venkateshwaraa Medical College Hospital and Research Centre, Ariyur (Puducherry), IN
1 Department of Community Medicine, Sri Venkateshwaraa Medical College Hospital and Research Centre, Ariyur (Puducherry), IN
Source
International Journal of Agricultural Engineering, Vol 12, No 2 (2019), Pagination: 177-185Abstract
This study presents of a hidden markov model (HMM) based on technique to classify agricultural crops time series and identify better sequence. The objective is to figure out the hidden state sequence given the observation sequence so that the trend can be analyzed using the steady state probability distribution values. The probability of Markov process generated one year difference in time series value when considered is found to give the best optimum state sequence then other difference sequence. These numerical results clearly show an improved forecasting accuracy compared to all difference fitness value and highest fitness value is well fitted sequence in sorghum production using MATLAB coding programme.Keywords
Markov Chain, Hidden Sequence, Observation Sequence, Transition, Emission Probability Matrix.
References
- Albert, P.S. (1991). A two-state markov mixture model for a time series of epileptic seizure counts. Biometrics, 47: 1371-1381.
- Churchill, G.A. (1992). Hidden markov chains and analysis of genome structure. Computers & Chemistry, 51 : 107-115.
- Elliott, R.J. and Van, de Hoek J. (1997). An application of hidden markov models to asset allocation problems. Finance & Stochastic, 1: 229-238.
- Juang, B.H. and Rabiner, L.R. (1991). Hidden markov models for speech recognition. Technometrics, 33: 251-272.
- Krogh, A., Brown, M., Mian, I.S., Sjolander, K. and Haussler, D. (1994). Hidden markov models in computational biology: Applications to protein modeling. J. Molecular Biology, 235: 1501-1531.
- Leroux, B.G. and Puterman, M.L. (1992).Maximum-penalized-likelihood estimation for independent and markov-dependent mixture models. Biometrics, 48: 545-558.
- Rabiner, L.R. (1989). A tutorial on hidden markov processes and selected applications in speech recognition. Proc. IEEE, 77 : 257-286.
- Rabiner, L. and Juang, B. (1993). Fundamentals of speech recognition. Prentice-Hall, Englewood Cliffs,NJ.
- Turin, W. and Sondih, M.M. (1993). Modeling error sources in digital channels. IEEE J. Selected Areas in Communications, 11: 340-347.
- Zamani, Behzad, Akbari, Ahmad, Nasersharif, Babak, Mohammadi, Mehdi and Jalalvand, Azarakhsh (2010). Discriminative transformation for speech features based on genetic algorithm and HMM likelihoods. IEICE Electronic Express, 7 (4): 247-253.