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dc.contributor.authorMukherjee, Amartya
dc.contributor.authorKumar Panja, Ayan
dc.contributor.authorDey, Nilanjan
dc.contributor.authorGonzález-Crespo, Rubén
dc.date2023
dc.date.accessioned2023-04-04T12:28:52Z
dc.date.available2023-04-04T12:28:52Z
dc.identifier.citationMukherjee, A., Panja, A. K., Dey, N., & Crespo, R. G. (2022). An intelligent edge enabled 6G‐flying ad‐hoc network ecosystem for precision agriculture. Expert Systems, e13090.es_ES
dc.identifier.issn0266-4720
dc.identifier.urihttps://reunir.unir.net/handle/123456789/14482
dc.description.abstractUnmanned aerial vehicle based precision agriculture is a predominant research area. The modern flying ad-hoc network leverages the advanced low latency vehicular communication and intelligent computing paradigms that help the ecosystem to grow up to the next level. In this work, we propose an ecosystem for precision agriculture that leverages the use of the opportunistic MQTT protocol in an edge-enabled intelligent drone network for sensing and performing crop prediction using an intelligent ensemble machine learning model. The proposed approach leverages the edge computing system that requires low energy devices and also exploits the ultra-low latency opportunistic message transfer methodology. The experimental results show the maximum of 0.9 message delivery ratio and a minimum of 600 ms latency is achieved by opportunistic MQTT protocol in an ultra-low latency sparse network scenario. A weighted ensemble model is deployed onto the edge enabled devices or the drones. An accuracy of 96.5% is achieved in predicting the type of crops that can be grown in the soil about the selected area of interest.es_ES
dc.language.isoenges_ES
dc.publisherExpert Systemses_ES
dc.relation.ispartofseries;vol. 40, nº 4
dc.relation.urihttps://onlinelibrary.wiley.com/doi/10.1111/exsy.13090es_ES
dc.rightsrestrictedAccesses_ES
dc.subjectagriculturees_ES
dc.subjectdelivery ratioes_ES
dc.subjectedge computinges_ES
dc.subjectensemble modeles_ES
dc.subjectFANETes_ES
dc.subjectlatencyes_ES
dc.subjectMQTTes_ES
dc.subjectScopuses_ES
dc.subjectJCRes_ES
dc.titleAn intelligent edge enabled 6G-flying ad-hoc network ecosystem for precision agriculturees_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1111/exsy.13090


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