Deep learning-based prediction for stand age and land utilization of rubber plantation-Reference-Cited by-同舟云学术

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Deep learning-based prediction for stand age and land utilization of rubber plantation

Published:2022 Issue: Volume: Page:131-156
ISSN:
Container-title:Application of Machine Learning in Agriculture
language:
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Author:

Mahakalanda Indra,Demotte Piyumal,Perera Indika,Meedeniya Dulani,Wijesuriya Wasana,Rodrigo Lakshman

Publisher

Elsevier

Reference53 articles.

1. Vegetation detection using deep learning and conventional methods;Ayhan;Remote Sensing,2020

2. Deep learning model for accurate vegetation classification using RGB image only;Ayhan;Proceedings of SPIE – The International Society for Optical Engineering,2020

3. High-precision stand age data facilitate the estimation of rubber plantation biomass: A case study of Hainan Island, China;Chen;Remote Sensing,2020

4. Estimation of rubber stand age in typhoon and chilling injury afflicted area with Landsat TM data: A case study in Hainan Island, China;Chen;Forest Ecology and Management,2012

5. Stand age estimation of rubber (Hevea brasiliensis) plantations using an integrated pixel- and object-based tree growth model and annual Landsat time series;Chen;ISPRS Journal of Photogrammetry and Remote Sensing,2018

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1. Field Detection from Satellite Images with Deep Learning Methods;2023 International Conference on Inventive Computation Technologies (ICICT);2023-04-26

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