首页|基于云平台的农作物信息采集系统设计

基于云平台的农作物信息采集系统设计

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随着我国现代科学技术水平的不断提高,智慧农业的建设范围不断扩大.物联网技术、大数据技术、云计算技术与智慧农业之间的联系也日益紧密.在农业信息检测技术方面,智慧农业经历了人工检测和自动检测两个阶段,逐渐实现了农业数字化的目标.然而,人工检测普遍存在精度较低、劳动强度较大、效率较低等问题,而自动检测则面临传感器布置困难、线束繁琐、维护费用高和扩展性不佳等挑战.为解决这些问题,设计了基于云平台的信息采集系统,搭载于农业信息采集机器人移动平台上,能够获取农作物的生长信息,并通过云平台与定点检测获得农作物生长环境信息融合,为农作物提供最适合生长的条件,从而确保农作物的产期和产量.
Design of crop information collection system based on cloud platform
With the continuous improvement of China's modern scientific and technological capabilities,the scope of smart agriculture construction is steadily expanding.The interconnection between Internet of Things(IoT)technolo-gy,big data technology,cloud computing technology,and smart agriculture is growing increasingly tight.In terms of agricultural information detection technology,smart agriculture has undergone two stages:manual detection and auto-matic detection,gradually realizing the goal of agricultural digitization.However,manual detection suffers from issues such as low accuracy,high labor intensity,and low efficiency,while automatic detection faces challenges like difficult sensor deployment,complex wiring,high maintenance costs,and poor scalability.To address these issues,a cloud-based information collection system has been designed,integrated into the mobile platform of an agricultural information collection robot.This system is capable of acquiring growth information about crops and,through the cloud platform,merging it with environmental information obtained from fixed-point detection.This integration aims to provide the most conducive conditions for crop growth,thereby ensuring the planting period and yield of crops.

cloud platformagricultural information collection robot,data collection

白云生、王伟

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东北林业大学,黑龙江哈尔滨 150040

云平台 农业信息采集机器人 数据采集

2024

林业机械与木工设备
国家林业局哈尔滨林业机械研究所

林业机械与木工设备

影响因子:0.574
ISSN:2095-2953
年,卷(期):2024.52(4)
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