Land suitability assessments for yield prediction of cassava using geospatial fuzzy expert systems and remote sensing-Reference-Cited by-同舟云学术

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Land suitability assessments for yield prediction of cassava using geospatial fuzzy expert systems and remote sensing

Published:2019-11 Issue: Volume:166 Page:105018
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Ayu Purnamasari Riska,Noguchi Ryozo,Ahamed Tofael

Funder

Indonesian Geospatial Agency

USGS

European Space Agency

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference30 articles.

1. Land management in Mexican sugarcane crop fields;Aguilar-Rivera;Land Use Policy,2018

2. Agricultural land use suitability analysis using GIS and AHP technique;Akıncı;Comput. Electron. Agric.,2013

3. Assessment of land suitability for olive mill wastewater disposal site selection by integrating fuzzy logic, AHP, and WLC in a GIS;Aydi;Environ. Monit. Assess.,2016

4. Towards fine resolution global maps of crop yields: Testing multiple methods and satellites in three countries;Azzari;Remote Sens. Environ.,2017

5. Decision-making in a fuzzy environment;Bellman;Manage. Sci.,1970

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