## 3 Proposed Architecture
In terms of the security and privacy of the proposed system, the cost-efficient process scheduling and optimization during the process of forecasting in the agriculture commodity distribution application is shown in Figure 2. This collaborative architecture demonstrates different aspects, such as forecasting, which requires more efficient resource distribution and classification during forecasting. However, to optimize the recorded data captured from different food and safety departments, the process of commodity production details services exchanged and stored through different network layers for efficient forecasting, as shown in Figure 2. In this architecture, we defined the overall scenario of data received in the process operation environment. In this architecture, we defined the overall scenario of data received in the process operation environment and started forecasting with process scheduling, information management, organization, and monitoring of the preserved ledger using metaheuristic-enabled genetic algorithms and regression-based linear and logistic methods. All initial data generated by departments are stored in the immutable distributed Interplanetary File Storage (IPFS). Through the edge nodes, participating stakeholders make a request for read-only purposes or information exchange directly, as shown in Figure 2 (stakeholder environment). The on-chain and off-chain gateways manage the agricultural commodity-related transac  
Figure 2: The proposed collaborative architecture of metaheuristic-blockchain hyperledger sawtooth. tions and the access control of storage to retain information and exchanges. In this regard, stakeholders request the blockchain hyperledger sawtooth engineer in a dynamic time for various product pricing forecasting-related services. The number of forecasting task schedules for the process and management of outputs is organized in such a way that it can be preserved securely in the distributed ledger storage system. This procedure takes a short time frame (evaluate delay) to complete the process of execution. The relationship between the agricultural nodes' transactions on the network environment can obtain permission from the hyperledger sawtooth engineer for further processing after validation, whereas the storage environment can only store and exchange the executed transaction via off-chain communication. The cost of delay is measured continuously while the system continuously generates a forecast of commodities and exchanges such information among stakeholders (using Quality-of-Services parameter, where serverless delay = 80 ms tuned). However, the optimization of individual commodity price forecasts becomes prioritized by the utilization of the product, which is mentioned in Figure 2, and then the task is executed individually and in parallel in an efficient way. The process of this collaborative approach is categorized into capturing, examining, analyzing, scheduling, managing, predicting, organizing, optimizing, and monitoring the network layers. For instance, we evaluate delays between events of execution, prediction accuracy, efficient network transmission, dynamic control of process scheduling, etc. In addition, the proposed collaborative approach is computed effectively while exchanging forecasting-related information, and details are transmitted among stakeholders in the distributed permissioned private network. The agenda of this proposed approach is achieved with the deployment of smart contracts, resulting in a satisfactory schedule process of forecasting and management in a secure distributed manner, while sharing the commodity price information through the defined on-chain and off-chain communication protocols, as shown in Figure 2. Several internal resources are crucial that need to be calculated, such as node interconnectivity, state of hyperledger, one-to-one communication or broadcast, REST API, hashes, consensus, CLI proxy, and processor transaction evaluation.