摘 要
本研究针对当前农田病虫害监测的难题，提出了一种基于无人机的农田病虫害监测系统。传统的病虫害监测方法受限于人力、时间成本及监测范围，而无人机技术的引入则有效解决了这些问题。本研究旨在通过无人机搭载高清摄像头和传感器，实现对农田病虫害的高效、准确监测。方法上，我们结合了图像识别技术与数据分析，通过无人机采集农田图像，再利用图像识别算法对病虫害进行自动识别和分类。实验结果显示，该系统能够有效识别出病虫害区域，并提供详细的病虫害分布图，为农民提供及时的防治建议。此外，系统还能根据历史数据和当前环境参数预测病虫害发生趋势，帮助农民制定科学的防治策略。
关键词：无人机监测；图像识别；病虫害防治；现代农业管理
UNMANNED AERIAL VEHICLE-BASED MONITORING SYSTEM FOR AGRICULTURAL DISEASES AND PESTS
ABSTRACT
In this paper, a monitoring system of agricultural diseases and pests based on unmanned aerial vehicle (UAV) was proposed. Traditional pest monitoring methods are limited by manpower, time cost and monitoring scope, but the introduction of UAV technology effectively solves these problems. The aim of this research is to realize efficient and accurate monitoring of agricultural diseases and pests by using the UAV equipped with high-definition cameras and sensors. In terms of method, we combined image recognition technology and data analysis, collected farmland images by UAV, and then used image recognition algorithm to automatically identify and classify pests and diseases. The experimental results show that the system can effectively identify the areas of pests and diseases, and provide detailed map of pests and diseases, and provide timely prevention and control suggestions for farmers. In addition, the system can predict the occurrence trend of pests and diseases based on historical data and current environmental parameters, and help farmers develop scientific control strategies.
KEY WORDS：UAV monitoring; Image recognition; Pest control; Modern agricultural management
目 录
摘 要 I
ABSTRACT II
第1章 绪论 2
1.1 研究背景及意义 2
1.2 农田病虫害监测系统研究现状 2
第2章 无人机农田病虫害监测系统设计 3
2.1 无人机平台选型与配置 3
2.2 传感器及数据采集系统设计 3
2.3 图像处理与识别技术应用 4
2.4 实时数据传输与存储方案 4
第3章 病虫害识别算法研究 5
3.1 图像预处理技术 5
3.2 特征提取与选择方法 5
3.3 病虫害识别模型构建 5
3.4 算法性能评估与优化 6
第4章 系统实现与性能分析 7
4.1 无人机飞行试验与数据采集 7
4.2 病虫害识别算法在实际应用中的表现 7
4.3 监测系统的实时性与准确性分析 7
4.4 系统改进方向及未来应用展望 8
第5章 结论 9
参考文献 10
致 谢 11
