skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Forecasting cauliflower prices in Nepal: a comparative analysis using seasonal time series and nonlinear models

Cogent food & agriculture, 2024-12, Vol.10 (1) [Peer Reviewed Journal]

EISSN: 2331-1932 ;DOI: 10.1080/23311932.2024.2340155

Full text available

Citations Cited by
  • Title:
    Forecasting cauliflower prices in Nepal: a comparative analysis using seasonal time series and nonlinear models
  • Author: Anisha Giri ; Vijay Raj Giri
  • Subjects: Cauliflower prices ; Fb Prophet model ; forecasting ; LSTM RNN ; SARIMA ; time series analysis
  • Is Part Of: Cogent food & agriculture, 2024-12, Vol.10 (1)
  • Description: AbstractThis study aims to examine the seasonal price trends of cauliflower in the Nepalese market over the past decade, considering its significance as a major vegetable in terms of production and land area. The primary goal is to predict short-term market prices using econometric time-series analysis and artificial neural networks (ANNs), providing valuable insights for stakeholders, such as farmers, policymakers, researchers and students to make informed decisions and implement effective strategies for production, marketing, and distribution. The data, derived from the annual reports of the Kalimati Fruits and Vegetable Market covering April 2013 to March 2023, serves as the foundation for the analysis. Utilising the Seasonal Auto-Regressive Integrated Moving Average (SARIMA), Long Short-Term Memory Recurrent Neural Network (LSTM RNN) and Facebook (Fb) Prophet models, the study probes into the intricate seasonal patterns and trends in cauliflower prices. In contrast to conventional literature trends, the results of this study highlight the superior forecast accuracy of the SARIMA model, sizing the need for tailored-modeling approaches to address the complexities of the agricultural commodity market. The findings reveal an overall stable price structure in Nepal, implying the necessity for strategic planning to address potential challenges for cauliflower growers. The study recommends off-season cultivation to manage supply-demand imbalances during peak periods, enabling farmers to optimise profits and promote sustainable agricultural practices using policy interventions.
  • Publisher: Taylor & Francis Group
  • Language: English
  • Identifier: EISSN: 2331-1932
    DOI: 10.1080/23311932.2024.2340155
  • Source: Taylor & Francis Open Access
    ProQuest Central
    DOAJ Directory of Open Access Journals
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait