Paper Info
Title
Agricultural IoT System Based on Image Processing and Cloud Platform Technology
Abstract
Detection of crop disease and growth state have always been the key to ensure the yield and quality of agricultural products. The algorithms, which are in the field of pattern recognition or image recognition, have been using to crop-disease detection and growth-state detection, these algorithms undoubtedly have great significance, and with the development of IoT technology in recent years, the Internet of things technology combining with the existing technology will be the future direction of intelligent agriculture. This paper proposed an agricultural system, which based on the image processing technology and cloud platform of the Internet of things technology. The system can complete image recognition process real-time detection and recording of crop growth status and alarm crop disease in time based on the mutual connection with the cloud platform, and truly realize the unmanned detection in the field of intelligent agricultural system.
Year
DOI
Venue
2017
10.1007/978-3-319-73447-7_5
international conference on machine learning
Field
DocType
Citations 
Crop growth,Computer science,ALARM,Internet of Things,Image processing,Real-time computing,Agriculture,Artificial intelligence,Machine learning,Cloud computing
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Yaxin Zheng100.34
Chungang Liu200.68