摘要
随着农业现代化的发展,传统的灌溉方式已经不能满足农业发展的需求,尤其是农业用水还面临着水资源短缺等情况,而智能灌溉技术可以很好地实现水资源的合理运用进而提升生产力和实现农业可持续发展。智能灌溉算法是确保智能灌溉系统高效运作和智能化的核心,算法依赖传感器技术收集数据,通过无线通信传输,利用机器学习和神经网络分析大数据,实现精确灌溉。然而,智能灌溉算法在数据质量、隐私保护及算法复杂性上仍存在多重难题。本文讨论并提出了一些关于提升数据质量、优化算法及推行政策扶持等的建议,以推动智能灌溉的广泛运用,为智能灌溉算法的发展方向提供一定的指导,实现农业现代化与可持续发展。
With the development of agricultural modernization,traditional irrigation methods can no longer meet the demands of agricultural development.Especially,agricultural water use is still facing water resource shortages and other situations.However,intelligent irrigation technology can well achieve the rational utilization of water resources,thereby enhancing productivity and realizing sustainable agricultural development.The intelligent irrigation algorithm is the core to ensure the efficient operation and intelligence of the intelligent irrigation system.The algorithm relies on sensor technology to collect data,transmits it through wireless communication,and uses machine learning and neural networks to analyze big data to achieve precise irrigation.However,intelligent irrigation algorithms still face multiple challenges in terms of data quality,privacy protection and algorithm complexity.This paper discussed and put forward some insights on improving data quality,optimizing algorithms and implementing policy support,in order to promote the wide application of intelligent irrigation,provide certain guidance for the development direction of intelligent irrigation algorithms,and achieve agricultural modernization and sustainable development.
作者
章毅
袁潇潇
曹栋栋
黄玉韬
梁立军
ZHANG Yi;YUAN Xiaoxiao;CAO Dongdong;HUANG Yutao;LIANG Lijun(Hangzhou Institute for Advanced Study,Hangzhou 310024,Zhejiang;Hangzhou First Technician College,Hangzhou 310023,Zhejiang;Hangzhou Nongke Seed Industry Co.,Ltd.,Hangzhou 310021,Zhejiang;School of Automation,Hangzhou Dianzi University,Hangzhou 310012,Zhejiang)
出处
《浙江农业科学》
2025年第9期2280-2286,共7页
Journal of Zhejiang Agricultural Sciences
基金
杭州市农业与社会发展领域科研计划项目(20241203A05)。
关键词
智能灌溉算法
模型
机器学习
数据分析处理
intelligent irrigation algorithm
model
machine learning
data analysis and processing
