Site suitability for Aromatic Rice cultivation by integrating Geo-spatial and Machine learning algorithms in Kaliyaganj C.D. block, India

Site suitability for Aromatic Rice cultivation by integrating Geo-spatial and Machine learning algorithms in Kaliyaganj C.D. block, India

The purpose of this work is to assess the soil fertility for Tulaipanji rice cultivation in Kaliyaganj C.D. Block using the Analytic Hierarchy Process (AHP) and Machine learning algorithms along with the field survey data and GIS. A total of 40 soil samples from Tulaipanji rice fields (from 0 to 40 ...

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Bibliographic Details
Main Authors: Debabrata Sarkar, Sunil Saha, Manab Maitra, B.Sc. in Geography, Prolay Mondal, Ph.D.
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2021-12-01
Series:Artificial Intelligence in Geosciences
Subjects:
Soil fertility
Suitability analysis
MCDM-AHP
Machine learning
GIS
Online Access:http://www.sciencedirect.com/science/article/pii/S2666544122000089

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