Research Article
Agricultural IoT System Based on Image Processing and Cloud Platform Technology
@INPROCEEDINGS{10.1007/978-3-319-73447-7_5, author={Yaxin Zheng and Chungang Liu}, title={Agricultural IoT System Based on Image Processing and Cloud Platform Technology}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={IoT technology Cloud platform Pattern recognition}, doi={10.1007/978-3-319-73447-7_5} }- Yaxin Zheng
Chungang Liu
Year: 2018
Agricultural IoT System Based on Image Processing and Cloud Platform Technology
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_5
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.
