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ISSN: 2375-4338

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  • rroa,
  • DOI: 10.4172/2375-4338.1000481

Sustainable Rice Pest Management: Tech Innovations

Mei Ling Zhang*
State Key Laboratory of Rice Biology, Zhejiang University, Hangzhou, China
*Corresponding Author : Mei Ling Zhang, State Key Laboratory of Rice Biology, Zhejiang University, Hangzhou, India, Email: meiling.zhang@zju.edu.cn

Received Date: Jul 01, 2025 / Accepted Date: Jul 29, 2025 / Published Date: Jul 29, 2025

Abstract

This collection of papers explores diverse strategies for managing rice insect pests and diseases, emphasizing sustainability and reduced reliance on chemical pesticides. It covers traditional Integrated Pest Management approaches, biological control using natural enemies, and advanced molecular techniques for disease diagnosis and host plant resistance. Innovative technologies like Deep Learning, Unmanned Aerial Vehicles (UAVs), remote sensing, Artificial Intelligence (AI), and genome editing tools such as CRISPR-Cas are highlighted for precision pest management and enhancing rice immunity. Furthermore, research delves into plant secondary metabolites and metagenomics for discovering novel biological control agents, reflecting a comprehensive push towards eco-friendly and efficient rice protection.

Citation: Zhang ML (2025) Sustainable Rice Pest Management: Tech Innovations. rroa 13: 481. Doi: 10.4172/2375-4338.1000481

Copyright: © 2025 Mei Ling Zhang This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricteduse, distribution and reproduction in any medium, provided the original author and source are credited.

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