A novel ensemble machine learning and time series approach for oil palm yield prediction using Landsat time series imagery based on NDVI-Reference-Cited by-同舟云学术

A novel ensemble machine learning and time series approach for oil palm yield prediction using Landsat time series imagery based on NDVI

Published:2022-02-20 Issue:25 Volume:37 Page:9865-9896
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Ang Yuhao¹^ORCID,Shafri Helmi Zulhaidi Mohd¹^ORCID,Lee Yang Ping²^ORCID,Abidin Haryati²^ORCID,Bakar Shahrul Azman²^ORCID,Hashim Shaiful Jahari³^ORCID,Che’Ya Nik Norasma⁴^ORCID,Hassan Mohd Roshdi⁵^ORCID,Lim Hwee San⁶^ORCID,Abdullah Rosni⁷^ORCID

Affiliation:

1. Department of Civil Engineering and Geospatial Information Science Research Centre (GISRC), Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia

2. Geoinformatics Unit, FGV R&D Sdn Bhd, FGV Innovation Centre, PT23417, Lengkuk Teknologi, 71760 Bandar Enstek, Negeri Sembilan, Malaysia

3. Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia

4. Department of Agriculture Technology, Faculty of Agriculture, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia

5. Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia

6. School of Physics, Universiti Sains Malaysia (USM), 11800 Penang, Malaysia

7. School of Computer Sciences, Universiti Sains Malaysia (USM), 11800 Penang, Malaysia

Funder

Ministry of Higher Education (MOHE), Malaysia

Long Term Research Grant Scheme (LRGS)-Malaysia Research University Network

A Big Data Analytics Platform for Optimizing Oil Palm Yield Via Breeding by Design

Geoinformatics Data for Palm Oil Yield Prediction Using Machine Learning

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2025920

Reference75 articles.

1. Instance-based learning algorithms

2. Prediction of Potato Crop Yield Using Precision Agriculture Techniques

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4. Error measures for generalizing about forecasting methods: Empirical comparisons

5. Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance

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