Simulating Sugarcane Elongation by a Multi-Parameter Generalized Logistic Model with Meteorological Effect-Reference-Cited by-同舟云学术

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Simulating Sugarcane Elongation by a Multi-Parameter Generalized Logistic Model with Meteorological Effect

Published:2024-08-21 Issue: Volume: Page:
ISSN:0972-1525
Container-title:Sugar Tech
language:en
Short-container-title:Sugar Tech

Author:

Zheng Guojun^ORCID,Ma Pengcheng,Wang Qinlong,Huang Hairong,Luo Ting,Li Xiang,Yan Meixin,Wang Zeping,Zhu Guanghu

Funder

National Natural Science Foundation of China

Central Government Guides Local Funds for Science and Technology Development

the Science and Technology Project of Guangxi

Science and Technology Service Network Plan

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12355-024-01477-y.pdf

Reference44 articles.

1. Aliano Filho, A., D.R. Cantane, P.R. Isler, and H. de Oliveira Florentino. 2023. An integrated multi-objective mathematical model for sugarcane harvesting considering cumulative degree-days. Expert Systems with Applications 232: 120881.

2. Archontoulis, S.V., and F.E. Miguez. 2015. Nonlinear regression models and applications in agricultural research. Agronomy Journal 107 (2): 786–798.

3. Caetano, J.M., D. Casaroli, J.A. Júnior, D.T. Quirino, A.W.P. Evangelista, and F.F. Capuchinho. 2023. Environmental effects on sugarcane growth from on-farm data in the Brazilian Midwest. African Journal of Agricultural Research 19: 825–838.

4. Casaroli, D., I.D.A. Sanches, D.T. Quirino, A.W.P. Evangelista, J.A. Júnior, R.A. Flores, M. Mesquita, and R. Battisti. 2023. How agrometeorological and water deficit variations influence the growth and yield of sugarcane. Australian Journal of Crop Science 17 (9): 741–752.

5. Casaroli, D., I.D.A. Sanches, D.T. Quirino, A.W.P. Evangelista, J.A. Júnior, R.A. Flores, M. Mesquita, R. Battisti, G. Rodigheri, and F.F. Capuchinho. 2024. Using crop models, a decline factor, and a “multi-model” approach to estimate sugarcane yield compared to on-farm data. Theoretical and Applied Climatology 155 (3): 2177–2193.

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