Time series modeling for forecasting the adoption behaviour of shrimp farmers

Commercial shrimp culture has emerged as a prominent sector of the coastal economy of India by virtue of the foreign exchange returns, rural employment it generates, and the economic viability of the enterprise and high market demand for the produce. The present study was conducted in Nellore and Nagapattinam districts a/India 10 forecast the adoption a/scientific technologies for a period of 17 years from 2004-2020, by the shrimp farmers using time series statistical modeling. The background data collected from 1997 to 2003 on the adoption behaviour of the farmers formed the database for predicting the adoption behaviour of the technologies. The study revealed that of the two statistical methods employed, namely Holt linear model and Holt exponential smoothing model, the goodness of fit generated by the Holt linear model with an R2 value 0/0.97 exhibited a higher degree of model adequacy over the Holt exponential smoothing model which revealed that in the years 2019 and 2020, the overall extent of adoption exceeded 100 percent which implies the development of new technologies by the research system and its subsequent adoption by the farmers. Besides factors such as changes in demography, demands in the export and local markets would motivate the shrimp fanners in future to adopt more of the improved technologies for getting higher yields

Computer simulation modeling for prediction of the extent of adoption of shrimp culture technologies (This paper is the part of the Ph.D thesis which got Jawaharlal Nehru Award 2006 for Outstanding Research in Social Sciences

Computer Simulation Modeling was used to Predict/forecast the extent of adoption of Shrimp Culture technologies by Shrimp farmers. The adoption behaviour of 120 Shrimp farmers was studied for the years ranging from 1997 to 2003 and the data was used to predict/ forecast the adoption behaviour for the years 2004 to 2020. The forecast values generated by the Baal Strap Computer Simulation model suggested a gradual increase in the overall extent of adoption from 2004 onwards which rises to reach a maximum value of 85.81 per cent in 2010. From 2011 onwards the model predicts a gradual decrease in the overall extent of adoption and continues to show th is trend until in 2020 the overall extent of adoption reaches 80.53 per cent. Besides, the model generated a goodness-of- fit value of 0.984 7 which indicated that the model explained 98.47 per cent of the prediction / forecasting of the overall extent of adoption of Shrimp culture technologies

Not Available

Not AvailableCommercial shrimp culture has emerged as a prominent sector of the coastal economy of India by virtue of the foreign exchange returns, rural employment it generates, and the economic viability of the enterprise and high market demand for the produce. The present study was conducted in Nellore and Nagapattinam districts a/India 10 forecast the adoption a/scientific technologies for a period of 17 years from 2004-2020, by the shrimp farmers using time series statistical modeling. The background data collected from 1997 to 2003 on the adoption behaviour of the farmers formed the database for predicting the adoption behaviour of the technologies. The study revealed that of the two statistical methods employed, namely Holt linear model and Holt exponential smoothing model, the goodness of fit generated by the Holt linear model with an R2 value 0/0.97 exhibited a higher degree of model adequacy over the Holt exponential smoothing model which revealed that in the years 2019 and 2020, the overall extent of adoption exceeded 100 percent which implies the development of new technologies by the research system and its subsequent adoption by the farmers. Besides factors such as changes in demography, demands in the export and local markets would motivate the shrimp fanners in future to adopt more of the improved technologies for getting higher yields.Not Availabl

Not Available

Not AvailableComputer Simulation Modeling was used to Predict/forecast the extent of adoption of Shrimp Culture technologies by Shrimp farmers. The adoption behaviour of 120 Shrimp farmers was studied for the years ranging from 1997 to 2003 and the data was used to predict/ forecast the adoption behaviour for the years 2004 to 2020. The forecast values generated by the Baal Strap Computer Simulation model suggested a gradual increase in the overall extent of adoption from 2004 onwards which rises to reach a maximum value of 85.81 per cent in 2010. From 2011 onwards the model predicts a gradual decrease in the overall extent of adoption and continues to show th is trend until in 2020 the overall extent of adoption reaches 80.53 per cent. Besides, the model generated a goodness-of- fit value of 0.984 7 which indicated that the model explained 98.47 per cent of the prediction / forecasting of the overall extent of adoption of Shrimp culture technologies.Not Availabl

A simplified methodology for mitigating the harmonics and common-mode voltage using multi-level inverters for renewable energy applications

Multi-level inverters have outstanding construction, making it feasible to achieve high voltage levels with less THD value. These harmonics can be mitigated by decreasing the number of voltage switches and DC links in the modified cascaded H-bridge multi-level inverter. This research deals with the novel 15-level inverter and reducing the number of power switches. The proposed work consists of three simulation circuits, one with 10 switches and the second with 12 switches. The mitigation of harmonics, voltage stress, and common-mode voltage is achieved with the help of modifying the pulses of the switches in the proposed 10 switches topology. Additionally, a filter is applied at the terminal to reduce the overall THD value for variable AC load applications. The multi-level inverter can generate the high-level output with less harmonics, losses, and common-mode voltage with the help of low switching frequencies. These types of a multi-level inverters are used in renewable energy applications. Finally, the simulation of a 15-level novel inverter is carried out with the help of MATLAB/Simulink software and compared with the conventional cascaded H-bridge multi-level inverter. The total harmonics distortion for modified CHBMI with 12 switches with or without filter and modified CHBMI with 10 switches with or without are mitigated as 13.53, 6.91, 12.86, and 4.56, respectively, compared to the conventional method with 28 switches. The proposed method is implemented in the hardware to validate the simulated results of the proposed topology.Scopu