2018
DOI: 10.12944/carj.6.2.12
|View full text |Cite
|
Sign up to set email alerts
|

Price Forecasting of Mango in Varanasi Market of Uttar Pradesh

Abstract: The study had been made to forecast the price of mango using ARIMA model in one of the major markets of Uttar Pradesh as the state ranks first position in production of mango in India. Varanasi market was selected purposively on the basis of second highest arrival market of mango in the state. Using ARIMA methodology on the monthly prices of mango collected from the Agricultural Produce Market Committee (APMC), Varanasi for the year 1993 to 2015. As the mango fruit having property of alternate bearing, only si… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
4
0
2

Year Published

2020
2020
2023
2023

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(9 citation statements)
references
References 7 publications
0
4
0
2
Order By: Relevance
“…Their results showed large variations between the forecast values and real values, and Holt Winter's model that considers seasonality showed the best performance. Apart from these studies, Darekar and Reddy [15], Jadhav et al [16], and Pardhi et al [17] forecast agricultural prices using the ARIMA model.…”
Section: Agricultural Price Forecasting Using Statistical Methodsmentioning
confidence: 99%
“…Their results showed large variations between the forecast values and real values, and Holt Winter's model that considers seasonality showed the best performance. Apart from these studies, Darekar and Reddy [15], Jadhav et al [16], and Pardhi et al [17] forecast agricultural prices using the ARIMA model.…”
Section: Agricultural Price Forecasting Using Statistical Methodsmentioning
confidence: 99%
“…Al comparar los datos observados con la estimaci贸n del modelo de componentes no observados para los precios de maracuy谩 y granadilla, como lo muestra el Gr谩fico IX, se puede observar que el componente de tendencia del maracuy谩 es negativo (figura de la izquierda), mientras para la granadilla la tendencia de los precios estimados por el modelo es baja. Estos resultados difieren de los encontrados en el mercado de mango en Varanasi, que reporta un incremento en los precios que beneficia significativamente a los productores (Pardhi et al, 2018).…”
Section: Resultados De Componentes No Observados Y Regresi贸n Markovianaunclassified
“…XXVII, No. especial 4 , 2021 ___________________________________________________________________197-212 Licencia de Creative Commons Atribuci贸n 4.0 Internacional (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/deed.es debido a que la desviaci贸n del pron贸stico obtenido con respecto a los valores observados no es muy alta, se constituyen en herramienta confiables para proyectar precios a futuro de frutas y verduras (Boateng et al, 2017;Jadhav et al, 2017;Pardhi, Singh y Kumar, 2018;Dharavath y Khosla, 2019;Paredes-Garc铆a et al, 2019;Weng et al, 2019).…”
Section: Introductionunclassified
“…They are usually classified as traditional statistical methods. The ARIMA model is exploited by researchers [9][10][11][12] for agricultural price prediction. When studying cocoa bean price forecasting, Assis and Remali [13] tried to figure out the best method in various time-series prediction models.…”
Section: Price Forecasting Using Statistical Methodsmentioning
confidence: 99%