Cargando…
Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India
BACKGROUND: Price forecasting of perishable crop like vegetables has importance implications to the farmers, traders as well as consumers. Timely and accurate forecast of the price helps the farmers switch between the alternative nearby markets to sale their produce and getting good prices. The farm...
Autores principales: | Paul, Ranjit Kumar, Yeasin, Md., Kumar, Pramod, Kumar, Prabhakar, Balasubramanian, M., Roy, H. S., Paul, A. K., Gupta, Ajit |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258887/ https://www.ncbi.nlm.nih.gov/pubmed/35793366 http://dx.doi.org/10.1371/journal.pone.0270553 |
Ejemplares similares
-
COVID-19 and prices of pulses in Major markets of India: Impact of nationwide lockdown
por: Paul, Ranjit Kumar, et al.
Publicado: (2022) -
Dialogue as a tool of nutrition literacy in an agricultural intervention programme in Odisha, India
por: Narayanan, Rama, et al.
Publicado: (2022) -
Assessment of Workplace Hygiene among Contractual Workers in the Steel and Power Industry of Odisha, India
por: Dehury, Parthsarathi, et al.
Publicado: (2022) -
Change in the air due to the coronavirus outbreak in four major cities of India: What do the statistics say?
por: Yeasin, Md, et al.
Publicado: (2023) -
Estimation of Heritability under Correlated Errors Using the Full-Sib Model
por: Paul, Amrit Kumar, et al.
Publicado: (2023)