Crop Yield Estimation Using Decision Trees and Random Forest Machine Learning Algorithms on Data from Terra (EOS AM-1) & Aqua (EOS PM-1) Satellite Data-Reference-Cited by-同舟云学术

Crop Yield Estimation Using Decision Trees and Random Forest Machine Learning Algorithms on Data from Terra (EOS AM-1) & Aqua (EOS PM-1) Satellite Data

Published:2019-07-03 Issue: Volume: Page:107-124
ISSN:1860-949X
Container-title:Studies in Computational Intelligence
language:
Short-container-title:

Author:

Bhatnagar Roheet,Gohain Ganesh Borpatra

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-20212-5_6

Reference12 articles.

1. E.M. Abdel-Rahman, F.B. Ahmed, R. Ismail, Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 hyperion hyperspectral data. Int. J. Remote Sens. 34(2), 712–728 (2013)

2. L. Breiman, Random forests. Mach. Learn. 45(1), 5–32 (2001)

3. J. Chen, M. Li, W. Wang, Statistical uncertainty estimation using random forests and its application to drought forecast. Math. Probl. Eng. (2012)

4. E. Craig, F. Huettmann, Using “blackbox” algorithms such as TreeNet and random forests for data-mining and for finding meaningful patterns, relationships and outliers in complex ecological data: an overview, an example using G, in Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery (IGI Global, 2009), pp. 65–84

5. G. De’ath, K.E. Fabricius, Classification and regression trees: a powerful yet simple technique for ecological data analysis. Ecology 81(11), 3178–3192 (2000)

Cited by 7 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. Qualitative Research Reasoning on Dementia Forecast Using Machine Learning Techniques;Lecture Notes in Networks and Systems;2024

2. Assessment of Future Climate and Kharif Paddy Yields using Ceres-Rice in the State of Andhra Pradesh;Current World Environment;2023-04-29

3. Random Forest for rice yield mapping and prediction using Sentinel-2 data with Google Earth Engine;Advances in Space Research;2022-10

4. Exploiting Sentinel-1 data and machine learning–based random forest for collectively mapping rice fields in Taiwan;Applied Geomatics;2022-05-05

5. Machine learning and remote sensing techniques applied to estimate soil indicators – Review;Ecological Indicators;2022-02