Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning-Reference-Cited by-同舟云学术

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Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computational Science and Computational Intelligence (CSCI)
language:
Short-container-title:

Author:

Bansal Yogesh¹,Lillis David¹,Kechadi Tahar¹

Affiliation:

1. School of Computer Science, University College Dublin,Dublin,Ireland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10216364/10216365/10216610.pdf?arnumber=10216610

Reference21 articles.

1. Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China

2. Winter Wheat Yield Prediction at County Level and Uncertainty Analysis in Main Wheat-Producing Regions of China with Deep Learning Approaches

3. A hybrid hmmsvm method for online handwriting symbol recognition;huang;International Conference on Intelligent Systems Design and Applications,0

4. Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

5. Climate change impacts on agro-climatic indices derived from downscaled weather generator scenarios for eastern Denmark

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. A neural meta model for predicting winter wheat crop yield;Machine Learning;2024-01-22

2. A Deep Learning Model for Heterogeneous Dataset Analysis - Application to Winter Wheat Crop Yield Prediction;Communications in Computer and Information Science;2023

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