Research on the Assessment Method of Sugarcane Cultivation Suitability in Guangxi Province, China, Based on Multi-Source Data
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References listed on IDEAS
- Wang, Sheng & Lian, Jinjiao & Peng, Yuzhong & Hu, Baoqing & Chen, Hongsong, 2019. "Generalized reference evapotranspiration models with limited climatic data based on random forest and gene expression programming in Guangxi, China," Agricultural Water Management, Elsevier, vol. 221(C), pages 220-230.
- Daniel Nohrstedt & Maurizio Mazzoleni & Charles F. Parker & Giuliano Baldassarre, 2021. "Exposure to natural hazard events unassociated with policy change for improved disaster risk reduction," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
- R. Duncan McIntosh & Austin Becker, 2020. "Applying MCDA to weight indicators of seaport vulnerability to climate and extreme weather impacts for U.S. North Atlantic ports," Environment Systems and Decisions, Springer, vol. 40(3), pages 356-370, September.
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- Yifang Zhou & Mingzhang Pan & Wei Guan & Changcheng Fu & Tiecheng Su, 2023. "Predicting Sugarcane Yield via the Use of an Improved Least Squares Support Vector Machine and Water Cycle Optimization Model," Agriculture, MDPI, vol. 13(11), pages 1-23, November.
- Guojun Zheng & Shengfeng Long & Guanghu Zhu & Qinlong Wang & Ting Luo & Hairong Huang & Lu Liu & Hui Fang & Pengcheng Ma & Yaoyang Shen & Zeping Wang, 2024. "Spatiotemporal Dynamic Relationship of Meteorological Factors and Sugar Content of Sugarcane by Vector Autoregression Model," Agriculture, MDPI, vol. 14(11), pages 1-19, October.
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Keywords
sugarcane; cultivation suitability; assessment cultivation; multi-source data;All these keywords.
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