How agriculture cold chain logistics works?
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Agricultural cold chain logistics involves utilizing technologies like blockchain, deep learning, and AI to ensure the quality and safety of fresh agricultural products during transportation and storage. These technologies help in real-time monitoring, prediction accuracy, traceability, and energy efficiency within the cold chain process. By combining blockchain for traceability, deep learning for prediction accuracy, and AI for energy optimization, the cold chain logistics system can effectively improve transportation efficiency, reduce wastage, and enhance product quality. The integration of these technologies allows for better control of the cold chain environment, ensuring that agricultural products are maintained under specified low-temperature conditions throughout the entire production, storage, and transportation process.
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| Papers (4) | Insight |
|---|---|
3 Citations | The paper proposes a blockchain system for controllable data sharing in agricultural cold chain logistics, enhancing efficiency through technology, scale, and resource allocation improvements from 2017 to 2021. |
| Agriculture cold chain logistics utilize real-time forecasting with deep neural classification for seasonal recommendations, enhancing stock management accuracy and improving transportation efficiency. | |
| Cold chain logistics for fresh agricultural products utilizes blockchain for traceability, ensuring data reliability, tamper resistance, and consumer rights protection from production to consumption. | |
1 Citations | The cold chain logistics model for agricultural products integrates IoT, blockchain, and optimization algorithms to monitor and control real-time conditions, ensuring quality and safety while enhancing transportation efficiency. |
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