<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">SSSD</journal-id><journal-title-group><journal-title>Scientific and Social Sustainable Development</journal-title></journal-title-group><issn>3066-8964</issn><eissn>3066-8980</eissn><publisher><publisher-name>Art and Technology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/SSSD.2026040003</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>人工智能背景下玉米防卫反应的研究</title><url>https://artdesignp.com/journal/SSSD/2/4/10.61369/SSSD.2026040003</url><author>陈洁</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>2</volume><issue>4</issue><history><date date-type="pub"><published-time>2026-02-28</published-time></date></history><abstract>玉米作为我国重要的粮食与经济作物，其产量与品质是农业领域的重点问题。人工智能技术以其强大的数据挖掘、模式识别与预测分析能力，为玉米防卫反应研究提供了新的思路与技术范式。本文将浅析玉米防卫反应的核心机制与传统研究方法，以及人工智能背景下玉米防卫反应研究的挑战，并对常见应用进行探讨。</abstract><keywords>人工智能,玉米防卫反应,应用展望</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] 李海霞. 关于现代玉米种植技术优化举措及病虫害防治办法的深入探讨[J]. 种子世界,2025,(04):81-83.[2] 李运江, 张贵涛. 智能农业技术在玉米种植中的应用[J]. 种子科技,2025,43(06):222-224.[3] 杨君. 玉米种植过程中现代农业技术的科学运用与未来发展分析[J]. 种子世界,2025,(03):78-80.[4]Bartsch M. et al. (2006). Salicylic acid-independent ENHANCED DISEASE SUSCEPTIBILITY1 signaling in Arabidopsis immunity and cell death is regulated by the monooxygenase FMO1 and the Nudix hydrolase NUDT7. Plant Cell 18: 1038-1051.[5]Liu M. et al. (2015). Transcriptome analysis of maize leaf systemic symptom infected by Bipolaris zeicola. PLoS ONE 10(3): e0119858.[6]Yang Q. et al. (2020). A stripe rust effector Pst18363 targets and stabilises TaNUDX23 that promotes stripe rust disease. New Phytologist 225(2): 880-895.[7]Pradhan A.K. et al. (2025). Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms. Frontiers in Plant Science 16: 1611784.[8] 张俊法. 信息技术在玉米种植及病虫害防治中的应用[J]. 农家参谋,2024,(34):40-42.[9] 姜涛, 陈梦非, 肖巍, 等. 信息技术在玉米种植质量控制中的应用[J]. 农业工程技术,2024,44(32):70-71.[10] 陈留江. 玉米全程机械化种植技术研究[J]. 世界热带农业信息,2024,(05):80-82.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
