Crop Identification Based on Remote Sensing Data using Machine Learning Approaches for Fresno County, California-Reference-Cited by-同舟云学术

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Crop Identification Based on Remote Sensing Data using Machine Learning Approaches for Fresno County, California

Published:2021-08 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Seventh International Conference on Big Data Computing Service and Applications (BigDataService)
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Author:

Suchi Sunanda Das,Menon Aparna,Malik Ashima,Hu Jie,Gao Jerry

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9564289/9564092/09564343.pdf?arnumber=9564343

Cited by 10 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. Mapping and predicting cassava mosaic disease outbreaks using earth observation and meteorological data-driven approaches;Remote Sensing Applications: Society and Environment;2024-08

2. Dipper throated optimization with deep convolutional neural network-based crop classification for remote sensing image analysis;PeerJ Computer Science;2024-01-25

3. Crop mapping through a hybrid machine learning and deep learning method;Remote Sensing Applications: Society and Environment;2024-01

4. Remote Sensing Imagery Data Analysis Using Marine Predators Algorithm with Deep Learning for Food Crop Classification;Biomimetics;2023-11-10

5. Crop Yield Prediction Using Satellite Imagery;2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS);2023-11-02

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