Wheat Cultivation Suitability Evaluation with Stripe Rust Disease: An Agricultural Group Consensus Framework Based on Artificial-Intelligence-Generated Content and Optimization-Driven Overlapping Community Detection

Wheat Cultivation Suitability Evaluation with Stripe Rust Disease: An Agricultural Group Consensus Framework Based on Artificial-Intelligence-Generated Content and Optimization-Driven Overlapping Community Detection

Plant modeling uses mathematical and computational methods to simulate plant structures, physiological processes, and interactions with various environments. In precision agriculture, it enables the digital monitoring and prediction of crop growth, supporting better management and efficient resource...

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Bibliographic Details
Main Authors: Tingyu Xu, Haowei Cui, Yunsheng Song, Chao Zhang, Turki Alghamdi, Majed Aborokbah
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Plants
Subjects:
precision agriculture
wheat cultivation
wheat strip rust disease
artificial intelligent generated content
plant disease detection
Online Access:https://www.mdpi.com/2223-7747/14/12/1794
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https://www.mdpi.com/2223-7747/14/12/1794

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