Spatial Prediction of Soil Continuous and Categorical Properties Using Deep Learning Approaches for Tamil Nadu, India

Spatial Prediction of Soil Continuous and Categorical Properties Using Deep Learning Approaches for Tamil Nadu, India

Large-scale mapping of soil resources can be crucial and indispensable for several of the managerial applications and policy implications. With machine learning models being the most utilized modeling technique for digital soil mapping (DSM), the implementation of model-based deep learning methods f...

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Bibliographic Details
Main Authors: Thamizh Vendan Tarun Kshatriya, Ramalingam Kumaraperumal, Sellaperumal Pazhanivelan, Nivas Raj Moorthi, Dhanaraju Muthumanickam, Kaliaperumal Ragunath, Jagadeeswaran Ramasamy
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Agronomy
Subjects:
digital soil mapping
one-dimensional convolutional neural networks
multi-layer perceptron
model comparison
SCORPAN
Online Access:https://www.mdpi.com/2073-4395/14/11/2707
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