Design and Implementation of Wheat Yield Estimation Model Based on Machine Learning
Based on the Internet of things big data of wheat yield forecast model design and implementation,the wheat yield prediction background and significance of wheat yield prediction are studied in the article;and the technical,economic and operational feasibility of the wheat yield estimation model is analyzed.Using data visual-ization technology,the yield of wheat in different environments in recent five years is directly displayed,and the main factors affecting wheat yield are analyzed accordingly.At the same time,lightgbm(LGB)model and xgboost(XGB)model are used as key technologies to build a wheat yield prediction model.The predicted wheat yield is compared with the actual yield,and the error is controlled within 5kg,which has a good prediction effect.
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万方数据
