Hyperspectral Estimation of Tea Leaf Chlorophyll Content Based on Stacking Models
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Xianlong Zhang & Fei Zhang & Hsiang-te Kung & Ping Shi & Ayinuer Yushanjiang & Shidan Zhu, 2018. "Estimation of the Fe and Cu Contents of the Surface Water in the Ebinur Lake Basin Based on LIBS and a Machine Learning Algorithm," IJERPH, MDPI, vol. 15(11), pages 1-20, October.
- Phong Tung Nguyen & Duong Hai Ha & Huu Duy Nguyen & Tran Van Phong & Phan Trong Trinh & Nadhir Al-Ansari & Hiep Van Le & Binh Thai Pham & Lanh Si Ho & Indra Prakash, 2020. "Improvement of Credal Decision Trees Using Ensemble Frameworks for Groundwater Potential Modeling," Sustainability, MDPI, vol. 12(7), pages 1-28, March.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Neslihan Beden & Nazire Göksu Soydan-Oksal & Sema Arıman & Hayatullah Ahmadzai, 2023. "Delineation of a Groundwater Potential Zone Map for the Kızılırmak Delta by Using Remote-Sensing-Based Geospatial and Analytical Hierarchy Processes," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
- Ali Azedou & Said Lahssini & Abdellatif Khattabi & Modeste Meliho & Nabil Rifai, 2021. "A Methodological Comparison of Three Models for Gully Erosion Susceptibility Mapping in the Rural Municipality of El Faid (Morocco)," Sustainability, MDPI, vol. 13(2), pages 1-30, January.
- Kouao Laurent Kouadio & Jianxin Liu & Serge Kouamelan Kouamelan & Rong Liu, 2023. "Ensemble Learning Paradigms for Flow Rate Prediction Boosting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(11), pages 4413-4431, September.
- Phong Tung Nguyen & Duong Hai Ha & Abolfazl Jaafari & Huu Duy Nguyen & Tran Van Phong & Nadhir Al-Ansari & Indra Prakash & Hiep Van Le & Binh Thai Pham, 2020. "Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam," IJERPH, MDPI, vol. 17(7), pages 1-20, April.
More about this item
Keywords
derivative transformations; SCARS; stacking model; LCC;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:15:y:2025:i:10:p:1039-:d:1653386. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.