Integrated Vegetable Supply System Based on Smart Contract and LSTM Prediction
- Resource Type
- Conference
- Authors
- Wu, Jun; Zhang, Ping; Bao, Xianglin; Li, Wenhan; Tang, Zhaojun; Cheng, Bin
- Source
- 2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan) Consumer Electronics - Taiwan (ICCE-Taiwan), 2023 International Conference on. :397-398 Jul, 2023
- Subject
- Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Smart contracts
Neural networks
Prototypes
Production
Sensor systems
Safety
Blockchains
Smart agriculture
Blockchain
LSTM
Internet of Things
Artificial intelligence
- Language
- ISSN
- 2575-8284
The technologies associated with the Internet of Things (IoT) have great potential for application in the domain of agriculture to increase production and reduce energy consumption. This paper builds a integrated vegetable supply system which integrates planting, storage, logistics and consumption through IoT technology. Using blockchain and Web development technology, this system creates traceable smart contract to ensure food safety. Environment data collected by sensors are used to predict the growth requirements of the plants by Long Short-Term Memory (LSTM) neural network. A prototype system is created to prove the feasibility of the system.