Kullback chi square and Gustafson Kessel probabilistic neural network based soil fertility prediction-Reference-Cited by-同舟云学术

Kullback chi square and Gustafson Kessel probabilistic neural network based soil fertility prediction

Published:2021-07-14 Issue:24 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Rajamanickam Jayalakshmi¹^ORCID,Mani Savitha Devi²

Affiliation:

1. Department of Computer Science Sri Vidya Mandir Arts and Science College Krishnagiri India

2. Department of Computer Science Periyar University Constituent College of Arts and Science Dharmapuri India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6460

Reference27 articles.

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3. Using fuzzy-AHP and parametric technique to assess soil fertility status in Northeast of Iran

4. Mapping and assessment‐based modeling of soil fertility differences in the central and eastern parts of the Black Sea region using GIS and geostatistical approaches;Özyazici MA;Arabian J Geosci,2017

5. Understanding cassava yield response to soil and fertilizer nutrient supply in West Africa

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