安徽农学通报 >
2026 , Vol. 32 >Issue 8: 66 - 69
DOI: https://doi.org/10.16377/j.cnki.issn1007-7731.2026.08.016
基于问卷调查的小麦病虫草害的农户认知与无人机应用策略
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张 震(1994—),男,河南信阳人,硕士,讲师,从事计算机应用、农业智能信息化研究工作。 |
收稿日期: 2025-05-09
网络出版日期: 2026-04-29
基金资助
河南省科技攻关项目“基于多视角场景下的显著性目标检测方法研究”(252102210082)
河南省科技攻关项目“基于航拍图像的高标准农田病虫害识别技术研究与应用”(252102110228)
Farmer cognition of wheat diseases, pests and weeds and UAV application strategies based on questionnaire survey
Received date: 2025-05-09
Online published: 2026-04-29
本研究采用实地考察法、问卷调查法和访谈法相结合的方式,调研了河南省5个代表性小麦主产地区小麦种植与病虫草害防治情况及无人机防治技术应用情况,并提出提升无人机防治应用效果的策略。调研结果显示,农户的耕地细碎化程度较高,以种植小麦、玉米为主;XX地区红蜘蛛(占比43.48%)、白粉病(占比40.86%)和猪殃殃(占比23.81%)等病虫草害居多;普遍采用“预防、监测、干预”三层防治措施,效率较低,且人力投入较大;61.90%的农户对无人机技术一般了解,4.76%的种植户很不了解该技术。针对土地细碎化程度高、农业科技力量认知度和接受度有待提高及无人机防治体系需进一步明确等现状,提出联合科技示范户等多主体整合零散耕地资源,通过短视频、公众号等多渠道宣传植保无人机技术,强化企业、高校及科研机构等产学研主体深度合作等应对策略。本文为相关地区小麦病虫草害防控及无人机应用优化提供参考。
张震 , 王振源 , 李宗霖 , 陈佳怡 . 基于问卷调查的小麦病虫草害的农户认知与无人机应用策略[J]. 安徽农学通报, 2026 , 32(8) : 66 -69 . DOI: 10.16377/j.cnki.issn1007-7731.2026.08.016
In this study, a combination of field investigation, questionnaire survey and interview was adopted to investigate wheat cultivation, disease and pest control, and the control application status of unmanned aerial vehicle (UAV) control technologies in 5 representative major wheat-producing areas of Henan Province. Corresponding optimization strategies for the application of UAVs were proposed. The survey results showed that farmland fragmentation among farmers was relatively serious, and wheat and maize were the dominant crops. Diseases, insect pests and weeds such as spider mites (43.48%), powdery mildew (40.86%) and Galium aparine (23.81%) were predominant in the XX area. The three-level response system of “prevention, monitoring and intervention” was commonly adopted for pest control, which was characterized by low efficiency and high labor input. In total, 61.90% of farmers had a general understanding of UAV technologies, while 4.76% of growers knew little about such technologies. In view of the high degree of land fragmentation, insufficient cognition and acceptance of agricultural science and technology, and the need to further improve the UAV control system, corresponding countermeasures were put forward, including integrating scattered cultivated land resources through multiple subjects such as scientific and technological demonstration households, promoting plant protection UAV technologies via multiple channels such as short videos and official WeChat accounts, and strengthening in-depth cooperation among industry-university-research entities including enterprises, universities and research institutions. This paper provides a reference for the prevention and control of wheat diseases, pests and weeds as well as the optimization of UAV application in relevant regions.
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