Open AccessVillage level identification of sugarcane in Sangali, Maharashtra using open source data
Author(s) -
AMAN LONARE,
BASANT MAHAESHWARI,
Pennan Chinnasamy
Publication year - 2022
Publication title -
journal of agrometeorology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 11
eISSN - 2583-2980
pISSN - 0972-1665
DOI - 10.54386/jam.v24i3.1688
Subject(s) - support vector machine , ground truth , random forest , agriculture , remote sensing , mathematics , geography , computer science , artificial intelligence , archaeology