| Autor: |
Edwin Ramirez-Asis, Astha Bhanot, Vishal Jagota, B. Chandra, Md Shamim Hossain, Kumud Pant, Hashem Ali Almashaqbeh |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Journal of Food Quality, Vol 2022 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1745-4557 |
| DOI: |
10.1155/2022/7486974 |
| Popis: |
In an agriculture sector, the quality of several raw crops depends upon the time factor. After harvesting, it is necessary to bring the crops either to cold storage or directly to customer though wholesale dealers. Keeping crops in cold storage decrease the nutrition value and also increase the overall cost of the crop leading to price hike. So, it will be best if the crops are put in the market as soon as possible. This can only be possible if the logistic system is updated and can handle the real-time requirement of agriculture product transport. This study investigates and highlights the possible IoT-based logistic support using artificial intelligence for the farmers such that a fast corridor is created between farmers’ lands to end-user customers. This will benefit the farmers in two-fold; first, it will increase the revenue of farmers by decreasing the time span avoiding cold storage fees, and second, it will maintain the quality of crops. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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