## 1 Introduction
Food production-related demand-supply chain systems, in particular, must achieve transparency, integrity, provenance, traceability, and information accessibility via distributed applications (DAPP). In commodity forecasting, the blockchain can aid in the security, protection, and preservation of agricultural-related details and forecasting information in a distributed storage environment, allowing for a transparent analysis of the commodity price forecasting process [16]. However, blockchain hyperledger technology has been envisioned and widely adopted by various agricultural and industrial commodity forecasting systems to achieve secure food pricing forecasts, ledger transparency, system provenance, and immutable registration. AI and mathematical experts are shifting toward blockchain hyperledger technology because of its distributed, decentralized ledger preservation nature and protected private network channels with secure protocols. The benefits of applying these strategies to protect the system against a variety of malicious attacks are usually intended for central server-based systems and frameworks. The blockchain also enables the improvement of the distributed node defense abilities with the help of cryptographic hash re-encryption and NuCypher encryption functions, along with the deployment of intrusion detection. Substantially, the technology enables the deployment of firewall-enabled defense, an anti-disclosure model to detect malicious activities, and procedures and protocols to ensure system provenance, ledger integrity, transparency, and distributed trust within the forecasting architecture. However, this paper addresses the collaborative approach of blockchain hyperledger sawtooth and metaheuristic-enabled modular architecture to analyze agricultural commodity prices and forecast the market fluctuations in terms of production, demand, and supply. In this paper, we proposed a novel and secure collaborative approach that provides complete data provenance, integrity, traceability, and assurance for performing distinct agricultural operations, for example, commodity forecasting. Therefore, it can create trust between the stakeholders while collecting details of records, registering, adding new transactions, updating ledgers, protecting preservation, and interpreting the information. This comprehensive package ensures the preservation of ledger privacy, and transactions are encrypted using a hash-based mechanism (SHA-256) for the entire event of nodes [16]. The main contributions to this paper are discussed as follows:  
* This paper discusses the detailed design of a secure and novel blockchain-enabled architecture for precision agriculture that intelligently forecasts commodity prices. This architectural aim is to maintain communication between node transactions among stakeholders in a private network channel. * We design and implement the process of day-to-day commodity pricing forecasting, such as capturing, examining, analyzing, scheduling, predicting, managing, and optimizing using a metaheuristic-based genetic algorithm. * The reason for choosing the hyperledger sawtooth is that it is an open-source platform that provides a modular infrastructure with private communication protocols. In this paper, we adopt the customized nature of sawtooth with a PoET consensus policy and procedure for automating transactions in a proposed private channel. * The smart contracts are created and deployed to automate events of agricultural node transactions, registration, adding new forecasting details, updating the ledger, and preserving detailed addresses in a protected manner. * Finally, we examine, analyze, and document the evaluation of the proposed collaborative approach for secure transactions of agricultural commodity pricing and its relevant emerging challenges and limitations. We also mention a few descriptive solutions related to the distributed nature of the future objectives that have not yet been discussed.