Streamlining Traceability Data Generation in Apple Production Using Integral Management with Machine-to-Machine Connections
Legal requirements and consumer demands have motivated the development and application of traceability technology. Farming practices are the starting point of the agri-food supply chain and the destination of the agri-food traceability system (AFTS). The amount of resource information and the comple...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Agronomy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4395/12/4/921 |
| _version_ | 1827622067761053696 |
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| author | Jing Xie Chunxu Wan Alfredo Tolón Becerra Ming Li |
| author_facet | Jing Xie Chunxu Wan Alfredo Tolón Becerra Ming Li |
| author_sort | Jing Xie |
| collection | DOAJ |
| description | Legal requirements and consumer demands have motivated the development and application of traceability technology. Farming practices are the starting point of the agri-food supply chain and the destination of the agri-food traceability system (AFTS). The amount of resource information and the complexity of the production process of agri-food become the main obstacles to the wide application of AFTS. This study introduces an integrated machine-to-machine system that allows collecting field operation information automatically. This system includes an IoT-based integrated hardware system, a smart farm cloud (SFC) platform, and a mobile application, which accomplished the collection, upload, and storage of operation information. This system had been used in “BSD” organic apple orchard in Qixia, Shandong Province, China for about one year. The effectiveness of the system was evaluated by managing 270 apple trees in one plot of the orchard. Finally, a label with a QR code was successfully generated to provide consumers to query traceability information from a single tree to a fruit tray. This work was a background of a blockchain traceability system. Moreover, the future extendibility of the system was also discussed and prospected. |
| first_indexed | 2024-03-09T11:17:19Z |
| format | Article |
| id | doaj.art-8a3c2d728d774678b640f821a66db1bc |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-09T11:17:19Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-8a3c2d728d774678b640f821a66db1bc2023-12-01T00:28:16ZengMDPI AGAgronomy2073-43952022-04-0112492110.3390/agronomy12040921Streamlining Traceability Data Generation in Apple Production Using Integral Management with Machine-to-Machine ConnectionsJing Xie0Chunxu Wan1Alfredo Tolón Becerra2Ming Li3Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences/National Engineering Research Center for Information Technology in Agriculture/National Engineering Laboratory for Agri-Product Quality Traceability, Beijing 100097, ChinaDepartment of Information Technology, Beijing Vocational College of Agriculture, Beijing 102442, ChinaDepartment of Engineering, University of Almeria, 04120 Almeria, SpainInformation Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences/National Engineering Research Center for Information Technology in Agriculture/National Engineering Laboratory for Agri-Product Quality Traceability, Beijing 100097, ChinaLegal requirements and consumer demands have motivated the development and application of traceability technology. Farming practices are the starting point of the agri-food supply chain and the destination of the agri-food traceability system (AFTS). The amount of resource information and the complexity of the production process of agri-food become the main obstacles to the wide application of AFTS. This study introduces an integrated machine-to-machine system that allows collecting field operation information automatically. This system includes an IoT-based integrated hardware system, a smart farm cloud (SFC) platform, and a mobile application, which accomplished the collection, upload, and storage of operation information. This system had been used in “BSD” organic apple orchard in Qixia, Shandong Province, China for about one year. The effectiveness of the system was evaluated by managing 270 apple trees in one plot of the orchard. Finally, a label with a QR code was successfully generated to provide consumers to query traceability information from a single tree to a fruit tray. This work was a background of a blockchain traceability system. Moreover, the future extendibility of the system was also discussed and prospected.https://www.mdpi.com/2073-4395/12/4/921single tree traceabilityRFIDGPS |
| spellingShingle | Jing Xie Chunxu Wan Alfredo Tolón Becerra Ming Li Streamlining Traceability Data Generation in Apple Production Using Integral Management with Machine-to-Machine Connections Agronomy single tree traceability RFID GPS |
| title | Streamlining Traceability Data Generation in Apple Production Using Integral Management with Machine-to-Machine Connections |
| title_full | Streamlining Traceability Data Generation in Apple Production Using Integral Management with Machine-to-Machine Connections |
| title_fullStr | Streamlining Traceability Data Generation in Apple Production Using Integral Management with Machine-to-Machine Connections |
| title_full_unstemmed | Streamlining Traceability Data Generation in Apple Production Using Integral Management with Machine-to-Machine Connections |
| title_short | Streamlining Traceability Data Generation in Apple Production Using Integral Management with Machine-to-Machine Connections |
| title_sort | streamlining traceability data generation in apple production using integral management with machine to machine connections |
| topic | single tree traceability RFID GPS |
| url | https://www.mdpi.com/2073-4395/12/4/921 |
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