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Integrated Vegetable Supply System Based on Smart Contract and LSTM Prediction.

Jun Wu,Ping Zhang,Xianglin Bao, Wenhan Li, Zhaojun Tang, Bin Cheng

ICCE-Taiwan(2023)

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摘要
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.
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关键词
Smart agriculture,Blockchain,LSTM,Internet of Things,Artificial intelligence
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