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A Bayesian-optimized hybrid fuzzy–PNN framework for ultra-lightweight severity-aware monitoring of stochastic plant disease transition zones in precision agricultural IoT
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| Published in: | Discover Internet of Things |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1872018578125881344 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Discover Internet of Things |
| description | |
| discipline_display | Computer Science |
| discipline_facet | Computer Science |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:107810 |
| institution | FRELIP |
| journal_source_facet | Discover Internet of Things |
| last_indexed | 2026-07-29T03:33:57.714Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | A Bayesian-optimized hybrid fuzzy–PNN framework for ultra-lightweight severity-aware monitoring of stochastic plant disease transition zones in precision agricultural IoT Computer Science General Computer Science |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Computer Science General Computer Science |
| subject_facet | Computer Science General Computer Science |
| title | A Bayesian-optimized hybrid fuzzy–PNN framework for ultra-lightweight severity-aware monitoring of stochastic plant disease transition zones in precision agricultural IoT |
| title_alt | Un marco híbrido difuso-PNN optimizado bayesianamente para la monitorización ultraligera consciente de la gravedad de zonas de transición de enfermedades estocásticas de plantas en IoT agrícola de precisión Un cadre hybride flou–PNN optimisé par Bayes pour la surveillance consciente de la sévérité ultra-légère des zones de transition stochastiques de maladies des plantes dans l'IdO agricole de précision Um framework híbrido fuzzy–PNN otimizado por Bayes para monitoramento ultra-leve ciente de gravidade de zonas de transição estocásticas de doenças de plantas em IoT agrícola de precisão |
| title_auth | A Bayesian-optimized hybrid fuzzy–PNN framework for ultra-lightweight severity-aware monitoring of stochastic plant disease transition zones in precision agricultural IoT |
| title_es_txt | Un marco híbrido difuso-PNN optimizado bayesianamente para la monitorización ultraligera consciente de la gravedad de zonas de transición de enfermedades estocásticas de plantas en IoT agrícola de precisión |
| title_fr_txt | Un cadre hybride flou–PNN optimisé par Bayes pour la surveillance consciente de la sévérité ultra-légère des zones de transition stochastiques de maladies des plantes dans l'IdO agricole de précision |
| title_full | A Bayesian-optimized hybrid fuzzy–PNN framework for ultra-lightweight severity-aware monitoring of stochastic plant disease transition zones in precision agricultural IoT |
| title_fullStr | A Bayesian-optimized hybrid fuzzy–PNN framework for ultra-lightweight severity-aware monitoring of stochastic plant disease transition zones in precision agricultural IoT |
| title_full_unstemmed | A Bayesian-optimized hybrid fuzzy–PNN framework for ultra-lightweight severity-aware monitoring of stochastic plant disease transition zones in precision agricultural IoT |
| title_pt_txt | Um framework híbrido fuzzy–PNN otimizado por Bayes para monitoramento ultra-leve ciente de gravidade de zonas de transição estocásticas de doenças de plantas em IoT agrícola de precisão |
| title_short | A Bayesian-optimized hybrid fuzzy–PNN framework for ultra-lightweight severity-aware monitoring of stochastic plant disease transition zones in precision agricultural IoT |
| title_sort | a bayesian-optimized hybrid fuzzy–pnn framework for ultra-lightweight severity-aware monitoring of stochastic plant disease transition zones in precision agricultural iot |
| topic | Computer Science General Computer Science |
| url | https://link.springer.com/article/10.1007/s43926-026-00450-3 |