STATISTICAL MODELS FOR FORECASTING MANGO AND BANANA YIELD OF KARNATAKA, INDIA

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

RATHOD S.; C. MISHRA G.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY (JAST) Year:2018 | Volume:20 | Issue:4 Page(s): 803-816

Download Full-Text

Persian Verion

View:

756

Download:

290

Cites:

Information Journal Paper

Title

STATISTICAL MODELS FOR FORECASTING MANGO AND BANANA YIELD OF KARNATAKA, INDIA

Author(s)

RATHOD S. | C. MISHRA G. | Issue Writer Certificate

Keywords

ARIMAQ3

HYBRID MODELSQ3

NLSVRQ3

REGRESSION MODELQ3

TIME SERIESQ3

TDNNQ3

Abstract

Horticulture sector plays a prominent role in economic growth for most of the developing countries. India is the largest producer of fruits and vegetables in the world next only to China. Among the horticultural crops, fruit crops are cultivated in majority of the area. Fruit crops play a significant role in the economic development, nutritional security, employment generation, and overall growth of a country. Among fruit crops, mango and banana are largest producing fruits of India. Generally, Karnataka is called as the horticultural state of India. In Karnataka, mango and banana are highest producing fruit crops. With these prospective, yield of mango and banana of Karnataka have been chosen as study variables. Forecasting is a primary aspect of developing economy so that proper planning can be undertaken for sustainable growth of the country. In this study, classes of linear and nonlinear, parametric and non-parametric statistical models have been employed to forecast yield of mango and banana of Karnataka. The major drawback of linear models is the presumed linear form of the model. In most of the cases, the TIME SERIES are not purely linear or nonlinear as they contain both linear and nonlinear components. To overcome this problem a hybrid model has been proposed which consists of linear and nonlinear models. The hybrid model with the combination of Autoregressive Integrated Moving Average (ARIMA) and Support Vector REGRESSION MODEL performed better in both model building as well as in model validation as compared to other models.

Cites

No record.

References

Cite

APA: Copy

RATHOD, S., & C. MISHRA, G.. (2018). STATISTICAL MODELS FOR FORECASTING MANGO AND BANANA YIELD OF KARNATAKA, INDIA. JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY (JAST), 20(4 ), 803-816. SID. https://sid.ir/paper/62993/en

Vancouver: Copy

RATHOD S., C. MISHRA G.. STATISTICAL MODELS FOR FORECASTING MANGO AND BANANA YIELD OF KARNATAKA, INDIA. JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY (JAST)[Internet]. 2018;20(4 ):803-816. Available from: https://sid.ir/paper/62993/en

IEEE: Copy

S. RATHOD, and G. C. MISHRA, “STATISTICAL MODELS FOR FORECASTING MANGO AND BANANA YIELD OF KARNATAKA, INDIA,” JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY (JAST), vol. 20, no. 4 , pp. 803–816, 2018, [Online]. Available: https://sid.ir/paper/62993/en

Related Journal Papers