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Adapting Models to Warn Fungal Diseases in Vineyards Using In-Field Internet of Things (IoT) Nodes

Research article (Sustainability, 2019) · cited 23× · AI/ML
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Adapting Models to Warn Fungal Diseases in Vineyards Using In-Field Internet of Things (IoT) Nodes

Summary

Adapting Models to Warn Fungal Diseases in Vineyards Using In-Field Internet of Things (IoT) Nodes is a scholarly article[1].

Key Facts

  • Adapting Models to Warn Fungal Diseases in Vineyards Using In-Field Internet of Things (IoT) Nodes's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Adapting Models to Warn Fungal Diseases in Vineyards Using In-Field Internet of Things (IoT) Nodes. Retrieved May 24, 2026, from https://4ort.xyz/entity/adapting-models-to-warn-fungal-diseases-in-vineyards-using-in-field-internet-of-things-iot-nodes
MLA “Adapting Models to Warn Fungal Diseases in Vineyards Using In-Field Internet of Things (IoT) Nodes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/adapting-models-to-warn-fungal-diseases-in-vineyards-using-in-field-internet-of-things-iot-nodes.
BibTeX @misc{4ortxyz_adapting-models-to-warn-fungal-diseases-in-vineyards-using-in-field-internet-of-things-iot-nodes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Adapting Models to Warn Fungal Diseases in Vineyards Using In-Field Internet of Things (IoT) Nodes}}, year = {2026}, url = {https://4ort.xyz/entity/adapting-models-to-warn-fungal-diseases-in-vineyards-using-in-field-internet-of-things-iot-nodes}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Adapting Models to Warn Fungal Diseases in Vineyards Using In-Field Internet of Things (IoT) Nodes — https://4ort.xyz/entity/adapting-models-to-warn-fungal-diseases-in-vineyards-using-in-field-internet-of-things-iot-nodes (retrieved 2026-05-24)

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