A novel SMLR-PSO model to estimate the chlorophyll content in the crops using hyperspectral satellite images
Crossref DOI link: https://doi.org/10.1007/s10586-018-2243-7
Published Online: 2018-03-19
Published Print: 2019-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Nandibewoor, Archana
Hegadi, Ravindra
Text and Data Mining valid from 2018-03-19
Article History
Received: 12 January 2018
Revised: 7 February 2018
Accepted: 16 February 2018
First Online: 19 March 2018