利用传感器网络进行实时视频监控和微参数测量,实现高效耕作

Khakal Vikas Shivaji, S. Galande
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引用次数: 3

摘要

该系统的目的是自动识别和检测机器人周围环境的运动,以装备移动机器人从农场进行监视任务。机械臂也有助于农业参数的管理和测量。机器人设计分为摄像头、传感器、控制、在线视频和图像发送系统以及规划子系统。土壤中N、P、K元素含量的测定有助于进一步确定土壤对肥料的需要量,最终有助于肥料形成过程中化学混合中N、P、K元素含量的管理。该系统的主要目标是最大限度地减少传统测量方案所需的节点数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time video monitoring and micro-parameters measurement using sensor networks for efficient farming
The aim of this system is to recognize and detect motion automatically around a robot's environment in order to equip a mobile robot for a surveillance task from farm. It is also helpful to manage and measure agricultural parameters with robotic arm. The robot design has been partitioned into camera, sensor, control, Online video and image transmitter system and planning subsystems. Contents measurement of N, P, K Element In soil is further useful to decide fertilizer requirement of soil and ultimately useful to manage content of same in chemical mixing during formation of fertilizer. Main focus of this system is to minimize the no of required nodes for the conventional measurement schemes.
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