Hazelnut mapping detection system using optical and radar remote sensing: Benchmarking machine learning algorithms-Reference-Cited by-同舟云学术

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Hazelnut mapping detection system using optical and radar remote sensing: Benchmarking machine learning algorithms

Published:2024-06 Issue: Volume:12 Page:97-108
ISSN:2589-7217
Container-title:Artificial Intelligence in Agriculture
language:en
Short-container-title:Artificial Intelligence in Agriculture

Author:

Sasso Daniele,Lodato Francesco,Sabatini Anna,Pennazza Giorgio,Vollero Luca,Santonico Marco,Merone Mario

Publisher

Elsevier BV

Reference69 articles.

1. Sentinel Sar-optical fusion for crop type mapping using deep learning and google earth engine;Adrian;ISPRS J. Photogramm. Remote Sens.,2021

2. Integrating multiple texture methods and ndvi to the random forest classification algorithm to detect tea and hazelnut plantation areas in Northeast Turkey;Akar;Int. J. Remote Sens.,2015

3. Multipurpose plant species and circular economy: Corylus avellana l. as a study case;Allegrini;Front. Biosci. Landmark,2022

4. Lazio;Bevilacqua,2012

Cited by 1 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. Object-Based Detection of Hazelnut Orchards Using Very High Resolution Aerial Photographs;2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics);2024-07-15

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