Predicting Cd accumulation in crops and identifying nonlinear effects of multiple environmental factors based on machine learning models-Reference-Cited by-同舟云学术

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Predicting Cd accumulation in crops and identifying nonlinear effects of multiple environmental factors based on machine learning models

Published:2024-11 Issue: Volume:951 Page:175787
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Lu Xiaosong,Sun Li,Zhang Ya,Du Junyang,Wang Guoqing,Huang Xinghua,Li Xuzhi,Wang Xiaozhi

Funder

Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences

Ministry of Science and Technology of the People's Republic of China

Ministry of Ecology and Environment of the People's Republic of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference71 articles.

1. Prediction of the cadmium content in grains of low-accumulating wheat cultivars and soil cadmium threshold for safe production;Bai;J. Clean. Prod.,2023

2. Machine learning algorithms for power system sign classification and a multivariate stacked LSTM model for predicting the electricity imbalance volume;Bâra;Int. J. Comput. Intell. Syst.,2024

3. Building Deep Learning Models;Budka,2019

4. The Cd sequestration effects of rice roots affected by different Si management in Cd-contaminated paddy soil;Cai;Sci. Total Environ.,2022

5. Does internet technology usage improve food production? Recent evidence from major rice-producing provinces of China;Chandio;Comput. Electron. Agric.,2023

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