基于深度学习的水肥药一体化系统的研究与设计

本文介绍了一种基于深度学习方法判断作物生长状态并自动完成水、肥、药施用的装置，该装置利用Raspberry Pi驱动摄像头获取实时叶片图像，将图像预处理后作为网络输入，判断作物是否需要浇水、施肥或喷药，并将判断结果发送至PLC控制器，由PLC控制自吸泵、电磁阀和电机运动完成施药、浇水、施肥作业。

Research and Design of Water, Fertilizer, Pesticide Integration Device Based on Deep Learning

This paper introduces a device based on deep learning method to determine the growth state of crops and automatically complete the application of water, fertilizer and medicine, the device uses the Raspberry Pi drive camera to obtain real-time leaf images, pre-processes the images as network input, determines whether crops need watering, fertilization or spraying, and sends the judgment results to the PLC controller, which controls the pump, solenoid valve and motor movement to complete the application, watering and fertilization operations.