Use of artificial neural networks to assess yield projection and average production of eucalyptus stands-Reference-Cited by-同舟云学术

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Use of artificial neural networks to assess yield projection and average production of eucalyptus stands

Published:2018-10-18 Issue:42 Volume:13 Page:2285-2297
ISSN:1991-637X
Container-title:African Journal of Agricultural Research
language:
Short-container-title:Afr. J. Agric. Res.

Author:

Aline Edwiges Mazon de Alcantra,Ana Carolina de Albuquerque Santos,Mayra Luiza Marques da Silva,Daniel Henrique Breda Binoti,Carlos Pedro Boechat Soares,Jose Marinaldo Gleriani,Helio Garcia Leite

Publisher

Academic Journals

Subject

General Agricultural and Biological Sciences

Link

https://academicjournals.org/journal/AJAR/article-full-text-pdf/9BAB7FB58899

Cited by 8 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. Use of artificial neural networks with the physiological principles to predict growth model;Engineering Applications of Artificial Intelligence;2024-10

2. Assessment of a Monthly Data Structure for Growth and Yield Projections from Early to Harvest Age in Hybrid Eucalypt Stands;Pertanika Journal of Tropical Agricultural Science;2023-09-22

3. Predicting eucalyptus plantation growth and yield using Landsat imagery in Minas Gerais, Brazil;Ecological Informatics;2023-07

4. Effects of Spacing on Early Growth Rate and Yield of Hybrid Eucalyptus Stands;Pertanika Journal of Tropical Agricultural Science;2023-04-18

5. Configuration of the Deep Neural Network Hyperparameters for the Hypsometric Modeling of the Guazuma crinita Mart. in the Peruvian Amazon;Forests;2022-04-29

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