In the realm of fruit and vegetable transportation, maintaining freshness and preventing spoilage are paramount concerns. This project introduces a comprehensive solution utilizing ethylene gas monitoring technology to optimize freshness during transit. Advanced sensors within transportation containers continuously monitor ethylene gas levels emitted by produce, with data transmitted to a central server in real-time. Elevated ethylene levels trigger an integrated ventilation system to expel excess gas, extending the shelf life of fruits and vegetables. Furthermore, the system incorporates mechanisms to actively control ethylene gas levels within the container, ensuring optimal preservation conditions. Through data analytics, supply chain organizers can optimize routes, storage conditions, and delivery schedules, enhancing efficiency and reducing food waste. This innovative approach aims to revolutionize the fruit and vegetable supply chain by leveraging technology to maintain product quality, meet delivery deadlines, and minimize spoilage.
One major hurdle encountered during the project was the absence of an existing dataset for ethylene gas detection and prediction. Collecting sufficient data for training neural network models proved to be a time-consuming and resource-intensive task. Additionally, integrating ethylene gas monitoring technology with existing transportation infrastructure posed technical challenges, particularly regarding sensor accuracy and communication reliability. Overcoming these challenges required proactive measures, including extensive collaboration with industry partners, dedicated field research, and continuous refinement of machine learning algorithms to ensure the effectiveness and reliability of the solution.
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