Analysis & Estimation of Soil for Crop Prediction using Decision Tree and Random Forest Regression Methods-Reference-Cited by-同舟云学术

Analysis & Estimation of Soil for Crop Prediction using Decision Tree and Random Forest Regression Methods

Published:2022-07-05 Issue: Volume: Page:
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Container-title:2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)
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Author:

Tolani Manoj¹,Bajpai Ambar¹,Balodi Arun¹,Sunny ²,Wuttisittikulkij Lunchakorn³,Kovintavewat Piya⁴

Affiliation:

1. Atria Institute of Information Technology,Department of Electronics and Communication,Bangalore,Karnataka,India

2. Indian Institute of Information Technology, Allahabad,Department of Electronics and Communication,Allahabad,India

3. Chulalongkorn University, Bangkok, Thailand,Department of Electrical Engineering,Bangkok,Thailand

4. Advanced Signal Processing for Disruptive Innovation Research Center, Nakhon Pathom Rajabhat University,Nakhon Pathom,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9894733/9894851/09895017.pdf?arnumber=9895017

Reference11 articles.

1. Soil data analysis using classification techniques and soil attribute prediction;gholap;ArXiv Preprint,2012

2. A Comparative Analysis of Supervised Machine Learning Algorithm for Agriculture Crop Prediction

3. Energy Efficient Hybrid Medium Access Control Protocol for Wireless Sensor Network

4. Precision agriculture using IoT data analytics and machine learning;akhter;Journal of King Saud University - Computer and Information Sciences,2021

5. Energy efficient adaptive bit-map-assisted medium access control protocol;manoj tolani;Wireless Personal Communication,2019

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