摘要
介绍了一种基于.NET平台的番茄果园视觉特征管理系统,旨在提高番茄果实的检测和识别效率,促进农业生产的智能化发展。随着信息技术的发展与普及,越来越多的农业生产活动开始向数字化、智能化的方向转变。同时,随着人口增长和城市化进程的加速,人们对蔬菜和水果的需求越来越大,对水果品质的要求也越来越高。而作为现代农业中重要的经济作物之一,番茄的种植和管理对于果农们来说至关重要。为了提高番茄种植的生产效率和品质,帮助果农实现对番茄种植全过程的管理。以位于辽宁省大连市旅顺口区某番茄果园为例,对系统框架的搭建,包括系统的数据结果和框架,同时对传感器数据和图像数据进行处理和数据分析,实现对果园内番茄的生长状态和品质的实时监测和管理,提高番茄果园的生产效率和品质,增加果农的生产效益和经济效益。
We introduced a Tomato Orchard Visual Feature Management System based on the.NET platform,aimed at improving the efficiency of tomato detection and recognition and promoting the intelligent development of agricultural production.With the development and popularization of information technology,more and more agricultural production activities are beginning to shift towards digitization and intelligence.At the same time,with the acceleration of population growth and urbanization,people's demand for vegetables and fruits is increasing,and the requirements for fruit quality are also increasing.As one of the important economic crops in modern agriculture,tomato cultivation and management are crucial for fruit farmers.In order to improve the production efficiency and quality of tomato cultivation,the system was used to help fruit farmers manage the entire process of tomato cultivation.Taking a tomato orchard located in the Lushunkou District of Dalian of Liaoning Province as an example,the system framework,including the system's data results and framework,the processing and data analysis of sensor data and image data,was constructed to achieve real-time monitoring and management of the growth status and quality of tomatoes in the orchard,improving the production efficiency and quality of the tomato orchard,and increasing the production and economic benefits of fruit farmers.
作者
李晶
王妍玮
LI Jing;WANG Yan-wei(Dalian University of Science and Technology,Dalian,Liaoning 116052;Heilongjiang Bayi Agricultural University,Daqing,Heilongjiang 163319;Heilongjiang University of Science and Technology,Harbin,Heilongjiang 150022)
出处
《安徽农业科学》
CAS
2024年第1期236-240,244,共6页
Journal of Anhui Agricultural Sciences
基金
2023年度辽宁省教育厅基本科研项目(JYTMS20230523)。
关键词
.NET平台
番茄果园
管理系统
分类识别
.NET platform
Tomato orchard
Management system
Classification recognition
