Yield Prediction Models in Guangxi Sugarcane Planting Regions Based on Machine Learning Methods

Yield Prediction Models in Guangxi Sugarcane Planting Regions Based on Machine Learning Methods

ObjectiveAccurate prediction of changes in sugarcane yield in Guangxi can provide important reference for the formulation of relevant policies by the government and provide decision-making basis for farmers to guide sugarcane planting, thereby improving sugarcane yield and quality and promoting the...

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Bibliographic Details
Main Authors: SHI Jiefeng, HUANG Wei, FAN Xieyang, LI Xiuhua, LU Yangxu, JIANG Zhuhui, WANG Zeping, LUO Wei, ZHANG Muqing
Format: Article
Language:English
Published: Editorial Office of Smart Agriculture 2023-06-01
Series:智慧农业
Subjects:
meteorological factor
hp filter
sugarcane yield
bpnn model
lstm model
machine learning
Online Access:http://www.smartag.net.cn/CN/10.12133/j.smartag.SA202304004

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