Weather-based yield prediction in banana (Musa spp.) by using principal  component analysis

B Ajith Kumar; Lekshmi V Haritha

doi:10.48165/

Authors

B Ajith Kumar Department of Agricultural Meteorology, College of Horticulture, KAU, Thrissur
Lekshmi V Haritha Department of Agricultural Meteorology, College of Horticulture, KAU, Thrissur

DOI:

https://doi.org/10.48165/

Keywords:

Weather-based, prediction

Abstract

Banana (Musa spp.) production is greatly influenced by weather parameters. Accurate weather based yield forecast helps planners and policy makers. Weather-based yield prediction models provide a trustworthy yield forecast, and also helps in forewarning of pest and diseases (Agrawal and Mehta, 2007). According to Salau et al., 2016 excessive rainfall and extremely high temperature can reduce banana productivity, while production is also small when both rainfall and temperature are very low with poor humidity. Information on yield climate relationship helps in forecasting yield and formulating suitable policies. Yield prediction or forecasting is an important aspect of developing economy so that proper planning can be undertaken for the sustainable growth.

Downloads

Download data is not yet available.

References

Agrawal R and Mehta SC. 2007. Weather based forecasting of crop yields, pests and diseases-IASRI models. J. Ind. Soc. Agrl. Statist. 61(2):255-63.

Haritharaj S. 2019. ‘Crop Weather Relationship of Rice Varieties Under Different Growing Environments’. MSc. (Agrie) thesis, Kerala Agricultural University, Thrissur.

Rao G P, Krishnakumar K N, Tony, X., and LalithaBai E K 2002. Status of. Agricultural Meteorology.

Salau O R, Momoh M, Olaleye O A, & Owoeye R S. 2016. Effects of changes in temperature, rainfall and relative humidity on banana production in Ondo State, Nigeria. World Scientific News 44: 143-54.