The proposed smart contract broadcasts LSTM AI model parameters. Discrete mango data owners can upload local model parameters globally, while other people can read them. To design an intelligent technology policy, the developer needs scale-free reinforcement learning to compute the execution timing, whether launching a FIFO or LSFO method when processing a mango export strategy (Kaelbling et al., 1996 (link)). In addition, the forecasting model and the LSTM model, which predicts the mango maturity trend (Bruckner et al., 2013 (link)), supports AI decision-making by sharing its features on the blockchain.
The value of a blockchain lies in its ability to store intelligence. The smart contract aggregation feature allows for sharing AI models without needing middlemen. Spreading machine knowledge through the hive mind platform is likely to solve one of the enormous supply chain normalization and fruit maturity consensus problems. Just as the internet allows websites to spread information, smart contracts allow the broadcasting of model parameters. After data collection by sensors, the AI model has been trained using these datasets. Subsequently, the model predicts the ripeness of the 20% trend in future projections. The prediction uses the trained intelligence to generate a meaningful equation-free model (Kevrekidis and Samaey, 2010 (link)) to measure the relative ripeness momentum. These processes allow authorized users to vote on forecasting model proposals on the blockchain, choosing whether to merge the old and new forecasting models. However, it should be noted that there is a fee for running a smart contract. Every time a smart contract is executed, a fee must be paid to the EVM for execution. This fee is paid to the nodes that help store, compute, execute, and validate smart contracts. EVM is known as the core of Ethereum, demonstrating its importance to the Fantom network (Choi et al., 2018 ; Kaur and Gandhi, 2020 (link)) (layer 1).
Layer 1 is a blockchain architectural term that refers to a network that provides infrastructure or consensus on projects, such as an event-based coffee supply chain (Bager et al., 2022 (link)). A virtual machine (VM) is a computer system with complete hardware functions simulated by software and running in a completely isolated environment. By generating a new virtual image of the existing operating system, the VM performs the same functions as the Windows system; however, it runs independently from a Windows system. As the name suggests, the EVM is Ethereum's VM. Notably, there are no VMs in the Bitcoin blockchain (Nakamoto, 2008 (link)). The primary function of Bitcoin is to store data in a distributed manner, and we can record, verify, store, and replicate transaction data in this network. Ethereum is a “decentralized real-world computer,” and developers can also build DApps on it, implying that Ethereum not only needs to be able to distribute data storage but also needs to run code and conduct consensus communication (Tikhomirov, 2017 (link); Hildenbrandt et al., 2018 (link)). If an account wants to execute a smart contract, the transfer will be completed according to the smart contract, and the relevant execution rules will be recorded in the data to guide the contract's operation. The network nodes execute the smart contract code every time the described transaction occurs through the EVM.
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