Soil Fertility Assessment Using Ensemble Methods in Machine Learning-Reference-Cited by-同舟云学术

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Soil Fertility Assessment Using Ensemble Methods in Machine Learning

Published:2024-03-11 Issue: Volume: Page:17-21
ISSN:
Container-title:2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)
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Author:

Sunori Sandeep Kumar¹,Negi Pushpa Bhakuni²,Joshi Naveen Chandra³,Mittal Amit⁴,Juneja Pradeep⁵

Affiliation:

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

2. Graphic Era Hill University,Department of Chemistry,Bhimtal,India

3. Uttaranchal University,Division of Research and Innovation,Dehradun,India

4. Graphic Era Hill University,Department of EVS,Bhimtal,India

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511072/10511073/10511122.pdf?arnumber=10511122

Reference20 articles.

1. WebGIS-Based Soil Fertility Information System in Cibodas Botanical Garden

2. CNN-based Soil Fertility Classification with Fertilizer Prescription

3. Classification of Soil Fertility Level Based on Texture with Convolutional Neural Network (CNN) Algorithm

4. A Systematic Review of the Soil Fertility Monitoring and Organic Farming Techniques for an Improved Crop Yield

5. Prediction of Soil Fertility Using ML Algorithms and Fertilizer Recommendation System

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