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Fuzzy Machine Learning-Based Algorithms for Mapping Cumin and Fennel Spices Crop Fields Using Sentinel-2 Satellite Data

Shilpa Suman Abhishek Rawat Anil Kumar S.K.Tiwari

Revue Internationale de Géomatique2024，Vol.33Issue(1)：P.363-381,19.

Revue Internationale de Géomatique2024，Vol.33Issue(1)：P.363-381,19.DOI:10.32604/rig.2024.053981

Fuzzy Machine Learning-Based Algorithms for Mapping Cumin and Fennel Spices Crop Fields Using Sentinel-2 Satellite Data

Shilpa Suman ¹Abhishek Rawat ²Anil Kumar ³S.K.Tiwari⁴

作者信息

1. SCOPE Department,VIT Bhopal University,Sehore,466114,India
2. Remote Sensing and GIS Department,IIT(ISM),Dhanbad,826004,India
3. PRSD Department,Indian Institute of Remote Sensing(IIRS),Dehradun,248001,India
4. Geography Department,Bhagwant University,Ajmer,305023,India
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摘要

关键词

Possibilistic c-Mean/noise clustering/class-based sensor independent-modified soil adjusted vegetation index-2/modified soil adjusted vegetation index-2/individual sample as mean

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农业科技

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Shilpa Suman,Abhishek Rawat,Anil Kumar,S.K.Tiwari..Fuzzy Machine Learning-Based Algorithms for Mapping Cumin and Fennel Spices Crop Fields Using Sentinel-2 Satellite Data[J].Revue Internationale de Géomatique,2024,33(1):P.363-381,19.

Revue Internationale de Géomatique

ISSN：1260-5875

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