农作物产量预测技术的研究与应用

Research and Application of Crop Yield Forecasting Techniques

农作物产量合理预测对保障粮食安全和进行粮食生产决议具有重要意义。本文以产量预测算法为主线,总结了基于传统算法和基于深度学习算法进行产量预测的原理和流程。其中多变量时间预测模型将成为研究的主流,多尺度遥感信息和深度学习技术融合将对未来农作物产量的预测产生重要影响。

The reasonable prediction of crop yield is of great significance for ensuring food security and making food production decisions.This paper takes yield prediction algorithm as the main line,summarizes the principle of yield prediction based on traditional algorithm and deep learning algorithm.The multi-variable time prediction model will become the mainstream of research,and the fusion of multi-scale remote sensing information and deep learning technology will have an important impact on future crop yield prediction.