A Comparative Analysis of the Machine Learning Model for Crop Yield Prediction in Quezon Province, Philippines
Author:
Affiliation:
1. Institute of Graduate Studies and Research Manuel S. Enverga University Foundation,Lucena City,Quezon,Philippines
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10134573/10134574/10134593.pdf?arnumber=10134593
Reference22 articles.
1. Crop Yield Prediction through Proximal Sensing and Machine Learning Algorithms
2. Crop Yield Prediction Using Machine Learning;champaneri,2018
3. A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning
4. Agricultural production output prediction using Supervised Machine Learning techniques
5. Yield prediction with machine learning algorithms and satellite images
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1. Predicting Crop Yield in Quezon Province, Philippines Using Gaussian Process Regression: A Data-Driven Approach for Agriculture Sustainability;2023 International Conference on Modeling & E-Information Research, Artificial Learning and Digital Applications (ICMERALDA);2023-11-24
2. Comparative Analysis of Machine Learning Models for Relative Humidity Prediction in the Philippines;2023 1st IEEE International Conference on Smart Technology (ICE-SMARTec);2023-07-17
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