基于物联网灌溉节水系统的设计与实现

摘要

针对当前区域灌溉中,区域过大,在旱情识别过程中存在识别不同步、灌溉区域难以界定、不精准,导致耗水量大的问题。为解决这一问题,提出了一种基于物联网与计算机视觉识别技术的多区域灌溉系统设计方法,通过采集不同区域的土壤图像,对土地的旱情进行有效识别,通过物联网技术,对不同区域进行有效的灌溉,克服传统灌溉方法中不能对区域进行划分,耗水量大的缺陷。实验证明,基于计算机视觉与物联网相结合的方法能够大幅节约灌溉成本,精确度较高。%If the area is too large for the current regional irrigation in drought identification process exists recognition is not synchronized,the irrigated area is difficult to define,the irrigated area is not accurate,resulting in a large water problem.To solve this problem,a multi-zone irrigation system design approach based on Internet of Things and computer vision recognition technology,by collecting the images of different regions of the soil,the land of drought effectively identify,through the Internet of Things technology,different regions efficient irrigation,to overcome the traditional irrigation methods can not be divided on regional,large water defects.Experiments show that,based on a combination of computer vision of the Internet of Things can significantly save irrigation costs,higher precision.