Design of K-Means Clustering & SVM based Models for Soil Fertility Classification-Reference-Cited by-同舟云学术

Design of K-Means Clustering & SVM based Models for Soil Fertility Classification

Published:2022-10-20 Issue: Volume: Page:
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Container-title:2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)
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Author:

Sunori Sandeep Kumar¹,Pant Janmejay²,Pant Himanshu²,Manu Mehul³,Juneja Pradeep⁴

Affiliation:

1. Graphic Era Hill University,Bhimtal Campus,Department of ECE,Bhimtal,India

2. Graphic Era Hill University, Bhimtal Campus,School of Computing,Bhimtal,India

3. Graphic Era Hill University, Bhimtal Campus,Department of Allied Sc.,India

4. Graphic Era University,Department of ECE,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9951706/9951861/09951872.pdf?arnumber=9951872

Reference15 articles.

1. Integrated soil fertility management involving promiscuous dual-purpose soybean and upland NERICA enhanced rice productivity in the savannas

2. Adoption of Zai technology for soil fertility management: evidence from Upper East region, Ghana

3. Use of machine learning in Moroccan soil fertility prediction as an alternative to laborious analyses;al masmoudi;Modeling Earth Systems and Environment,2021

4. Prediction of Soil Fertility Change Trend Using a Stochastic Petri Net

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2. Classification of Soil Fertility using LVQ and PNN Techniques;2023 8th International Conference on Communication and Electronics Systems (ICCES);2023-06-01