Land Suitability Assessment and Agricultural Production Sustainability Using Machine Learning Models

Land Suitability Assessment and Agricultural Production Sustainability Using Machine Learning Models

Land suitability assessment is essential for increasing production and planning a sustainable agricultural system, but such information is commonly scarce in the semi-arid regions of Iran. Therefore, our aim is to assess land suitability for two main crops (i.e., rain-fed wheat and barley) based on...

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Bibliographic Details
Main Authors: Ruhollah Taghizadeh-Mehrjardi, Kamal Nabiollahi, Leila Rasoli, Ruth Kerry, Thomas Scholten
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Agronomy
Subjects:
random forests
support vector machine
parametric method
rain-fed wheat
barley
Online Access:https://www.mdpi.com/2073-4395/10/4/573

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