Matches in SemOpenAlex for { <https://semopenalex.org/work/W4223553706> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W4223553706 abstract "Modern supply chain management relies heavily on crop processing technologies and blockchain technology. However, the majority of crop processing technology fails due to a lack of available supply chain management technologies. A supply chain management system based on crop processing is developed in this research. Digital ledger technology (blockchain) takes care of supply chains and deep learning image processing (crop processing). To process the harvested crops, the study makes use of machine learning techniques. Blockchain supply chain management technology is then used to deliver the processed crops to the shops. Consequently, the research permits the accurate and transparent distribution of crops to users in an optimal and secure manner. The full hybrid model is tested in a simulation to see if it can improve agricultural production and supply chain management. This new strategy improves agricultural processing rates, and when combined with the blockchain distributed ledger technology, this results in optimal crop management for the required users." @default.
- W4223553706 created "2022-04-15" @default.
- W4223553706 creator A5005402814 @default.
- W4223553706 creator A5016795089 @default.
- W4223553706 creator A5031227895 @default.
- W4223553706 creator A5046020438 @default.
- W4223553706 creator A5084044162 @default.
- W4223553706 creator A5088787025 @default.
- W4223553706 date "2022-03-16" @default.
- W4223553706 modified "2023-09-27" @default.
- W4223553706 title "Managing the Supply Chain for the Crops Directed from Agricultural Fields using Blockchains" @default.
- W4223553706 cites W2489417920 @default.
- W4223553706 cites W2940017685 @default.
- W4223553706 cites W2952858199 @default.
- W4223553706 cites W2965761488 @default.
- W4223553706 cites W2997032581 @default.
- W4223553706 cites W3007237729 @default.
- W4223553706 cites W3035431711 @default.
- W4223553706 cites W3044265704 @default.
- W4223553706 cites W3044282430 @default.
- W4223553706 cites W3046992879 @default.
- W4223553706 cites W3082736682 @default.
- W4223553706 cites W3083918343 @default.
- W4223553706 cites W3084962523 @default.
- W4223553706 cites W3094285736 @default.
- W4223553706 cites W3108511256 @default.
- W4223553706 cites W3127692634 @default.
- W4223553706 cites W3128333312 @default.
- W4223553706 cites W3134682884 @default.
- W4223553706 cites W3173609053 @default.
- W4223553706 cites W3194121135 @default.
- W4223553706 cites W3195918059 @default.
- W4223553706 cites W3201079506 @default.
- W4223553706 cites W3201165457 @default.
- W4223553706 cites W3208618010 @default.
- W4223553706 cites W3211893829 @default.
- W4223553706 cites W3215370712 @default.
- W4223553706 cites W4200239397 @default.
- W4223553706 cites W4200589679 @default.
- W4223553706 cites W4206027628 @default.
- W4223553706 cites W4206281864 @default.
- W4223553706 cites W4206684911 @default.
- W4223553706 doi "https://doi.org/10.1109/icears53579.2022.9752088" @default.
- W4223553706 hasPublicationYear "2022" @default.
- W4223553706 type Work @default.
- W4223553706 citedByCount "3" @default.
- W4223553706 countsByYear W42235537062022 @default.
- W4223553706 countsByYear W42235537062023 @default.
- W4223553706 crossrefType "proceedings-article" @default.
- W4223553706 hasAuthorship W4223553706A5005402814 @default.
- W4223553706 hasAuthorship W4223553706A5016795089 @default.
- W4223553706 hasAuthorship W4223553706A5031227895 @default.
- W4223553706 hasAuthorship W4223553706A5046020438 @default.
- W4223553706 hasAuthorship W4223553706A5084044162 @default.
- W4223553706 hasAuthorship W4223553706A5088787025 @default.
- W4223553706 hasConcept C108713360 @default.
- W4223553706 hasConcept C111919701 @default.
- W4223553706 hasConcept C118518473 @default.
- W4223553706 hasConcept C127413603 @default.
- W4223553706 hasConcept C144133560 @default.
- W4223553706 hasConcept C162853370 @default.
- W4223553706 hasConcept C18903297 @default.
- W4223553706 hasConcept C2779687700 @default.
- W4223553706 hasConcept C38652104 @default.
- W4223553706 hasConcept C41008148 @default.
- W4223553706 hasConcept C44104985 @default.
- W4223553706 hasConcept C86803240 @default.
- W4223553706 hasConcept C88463610 @default.
- W4223553706 hasConcept C98045186 @default.
- W4223553706 hasConceptScore W4223553706C108713360 @default.
- W4223553706 hasConceptScore W4223553706C111919701 @default.
- W4223553706 hasConceptScore W4223553706C118518473 @default.
- W4223553706 hasConceptScore W4223553706C127413603 @default.
- W4223553706 hasConceptScore W4223553706C144133560 @default.
- W4223553706 hasConceptScore W4223553706C162853370 @default.
- W4223553706 hasConceptScore W4223553706C18903297 @default.
- W4223553706 hasConceptScore W4223553706C2779687700 @default.
- W4223553706 hasConceptScore W4223553706C38652104 @default.
- W4223553706 hasConceptScore W4223553706C41008148 @default.
- W4223553706 hasConceptScore W4223553706C44104985 @default.
- W4223553706 hasConceptScore W4223553706C86803240 @default.
- W4223553706 hasConceptScore W4223553706C88463610 @default.
- W4223553706 hasConceptScore W4223553706C98045186 @default.
- W4223553706 hasLocation W42235537061 @default.
- W4223553706 hasOpenAccess W4223553706 @default.
- W4223553706 hasPrimaryLocation W42235537061 @default.
- W4223553706 hasRelatedWork W2770675950 @default.
- W4223553706 hasRelatedWork W4200244125 @default.
- W4223553706 hasRelatedWork W4206065805 @default.
- W4223553706 hasRelatedWork W4224309786 @default.
- W4223553706 hasRelatedWork W4237621816 @default.
- W4223553706 hasRelatedWork W4285503518 @default.
- W4223553706 hasRelatedWork W4294275516 @default.
- W4223553706 hasRelatedWork W4296885306 @default.
- W4223553706 hasRelatedWork W4322618562 @default.
- W4223553706 hasRelatedWork W4364301906 @default.
- W4223553706 isParatext "false" @default.
- W4223553706 isRetracted "false" @default.
- W4223553706 workType "article" @default.