基于无人机图像的荔枝果实计数与产量预测模型研究  

Research on Lychee Fruit Counting and Yield Prediction Model Based on Drone Images

作　　者：黄以宝 HUANG Yibao(Guangdong Preschool Normal College in Maoming,Maoming Guangdong 525000,China)

机构地区：[1]广东茂名幼儿师范专科学校,广东茂名525000

出　　处：《信息与电脑》2024年第14期9-11,15,共4页Information & Computer

基　　金：2023年度广东省普通高校重点领域专项(科技服务乡村振兴):基于无人机遥感技术的荔枝产业智慧化研究;2022年度广东省普通高校特色创新项目:面向智能教育的在线课程知识图谱构建与可视化技术研究(项目编号:2022KTSCX354)。

摘　　要：本文研究了基于无人机(Unmanned Aerial Vehicle,UAV)图像技术的荔枝果实计数与产量预测模型。通过利用无人机搭载的高分辨率相机采集荔枝果园的荔枝图像,结合图像处理和机器学习算法,实现了荔枝果实的精准计数与产量预测。该方法不仅提高了数据采集效率,还显著提升了产量预测的精度,为荔枝产业的精准管理和决策支持提供了科学依据。This article studies a lychee fruit counting and yield prediction model based on unmanned aerial vehicle(UAV)image technology.By utilizing high-resolution cameras mounted on drones to capture lychee images in lychee orchards,combined with image processing and machine learning algorithms,accurate counting and yield prediction of lychee fruits have been achieved.This method not only improves the efficiency of data collection,but also significantly enhances the accuracy of yield prediction,providing a scientific basis for precise management and decision support in the lychee industry.

关 键 词：无人机图像 荔枝计数 产量预测 机器学习 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]