Peanut Leaf Area Index Estimation Based on Fusion of Texture and Spectral Information from UAV Imagery-Reference-Cited by-同舟云学术

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Peanut Leaf Area Index Estimation Based on Fusion of Texture and Spectral Information from UAV Imagery

Published:2024-07-07 Issue: Volume: Page:3048-3053
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Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Qiao Dan¹,Yang Juntao¹,Bai Bo²,Li Guowei²,Wang Jianguo²,Li Zhenhai¹,Liu Jincheng³,Liu Jiayin¹

Affiliation:

1. Shandong University of Science and Technology,College of Geodesy and Geomatics,Qingdao,China,266590

2. Institute of Crop Germplasm Resources,Shandong Academy of Agricultural Sciences,Jinan,China,250100

3. Northwest A&F University,College of Natural Resources and Environment,Yangling,China,712100

Funder

Research and Development

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641655.pdf?arnumber=10641655

Reference13 articles.

1. An Overview of World Peanut Markets

2. Calibration of LAI-2000 canopy analyser with leaf area index in a young eucalypt stand

3. A simple algorithm for yield estimates: Evaluation for semi-arid irrigated winter wheat monitored with green leaf area index

4. Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives

5. A Method of Biophysical Parameter Retrieval at Global Scale by Inversion of a Vegetation Reflectance Model

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