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

Author:

Gaikar Shubhangi Vijay1,Zambare M.S.2,Shaligram A.D.3

Affiliation:

1. Fergusson College(Autonomous),Pune,411004

2. Fergusson College(Autonomous),Dept of Electronic Science,Pune,411004

3. Savitribai Phule Pune University,SPPU Research Park Foundation,Department of Electronic Science

Publisher

IEEE

Reference30 articles.

1. Crop plantation recommendation using feature extraction and machine learning techniques;attaluri;Technol Innov Appl,2020

2. A deep learning-based method for screening soil total nitrogen characteristic wavelengths

3. Visible and near-infrared spectroscopy with chemometrics are able to predict soil physical and chemical properties

4. Implementation of machine learning algorithms for crop recommendation using precision agriculture;akshatha;International Journal of Research in Engineering Science and Management (IJRESM),2018

5. Agro Consultant: intelligent crop recommendation system using machine learning algorithms;doshi;proceedings of 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA),2018

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Soil Fertility Assessment Using Ensemble Methods in Machine Learning;2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV);2024-03-11

2. A predictive analytics model for crop suitability and productivity with tree-based ensemble learning;Decision Analytics Journal;2023-09

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