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Sustainable pest management encompasses strategies that control agricultural pests while minimizing ecological harm, relying on biological controls, resistant crop varieties, and integrated approaches rather than synthetic pesticides alone. For plant science, this field is critical because it seeks to protect crop health and yield without disrupting plant-associated microbiomes, pollinator relationships, or soil ecosystems that underpin long-term agricultural productivity.

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Bridging Artificial Intelligence, Machine Learning with Green Nanotechnology: A Visionary Framework for Smart Fungal Disease Management in Plants.

PubMed · 2026-04-12

Researchers propose combining AI-powered disease detection with eco-friendly nanoparticles made from biological waste to fight fungal infections in crops more effectively and sustainably than current methods allow.

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Current fungal disease management is limited by increasing pathogen resistance and environmental concerns from chemical treatments

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The proposed framework integrates three technologies: hyperspectral imaging, deep learning image classification, and IoT real-time sensors for early disease detection

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Green-synthesized nanoparticles derived from biological waste are proposed as the eco-friendly control agent, targeting pathogens after AI-driven early diagnosis