Analysis and prediction of rubber tree phenological changes during Pestalotiopsis infection using Sentinel-2 imagery and random forest-Reference-Cited by-同舟云学术

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Analysis and prediction of rubber tree phenological changes during Pestalotiopsis infection using Sentinel-2 imagery and random forest

Published:2024-03-18 Issue:01 Volume:18 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Herdiyeni Yeni¹,Mumtaz Muhammad Faishal¹,Laxmi Gibtha Fitri¹,Setiawan Yudi²,Prasetyo Lilik Budi²,Febbiyanti Tri Rapani³

Affiliation:

1. IPB University, Department of Computer Science, Faculty of Mathematics and Natural Sciences, Bogor, Indonesia

2. IPB University, Department of Forest Resources Conservation and Ecotourism, Faculty of Forestry and Environment, Bogor, Indonesia

3. Indonesian Rubber Research Institute Sembawa, Banyuasin, Indonesia

Publisher

SPIE-Intl Soc Optical Eng

Reference51 articles.

1. Pestalotiopsis sp. infection causes leaf fall disease of new arrivals in several clones of rubber plants

2. Colletotrichum siamense and Pestalotiopsis jesteri as potential pathogens of new rubber leaf spot disease via detached leaf assay

3. Evaluation of key meteorological determinants of wintering and flowering patterns of five rubber clones in Xishuangbanna, Yunnan, China

4. Land surface phenological response to decadal climate variability across Australia using satellite remote sensing

5. Diverse Responses of Vegetation Phenology to Climate Change in Different Grasslands in Inner Mongolia during 2000–2016

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