基于图像识别的智能施肥系统

2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2021-04-23 DOI:10.1109/ICCCS52626.2021.9449144

Zhe Sun, Wei Feng, Jintao Jin, Qujiang Lei, Guangchao Gui, Weijun Wang

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引用次数: 0

摘要

为了解决常规施肥机器人不能同时对不同种类植物进行施肥的问题，设计了一种基于图像识别的智能施肥机器人。根据客户的要求，我们设计的系统可以提供正常植物分类和自动施肥的机器能力。本文将介绍一种基于图像识别的智能施肥系统，但由于数据集的数据泄露，需要在同一背景下对植物进行拍照。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Intelligent Fertilization System Based on Image Recognition

In order to solve the problem that the normal fertilization robot cannot feed different species of plants in one time, an intelligent fertilization robot based on image recognitions was designed. Based on the customers' requirements, the system we designed can supply the machine ability of normal plants classification and auto fertilization after verifying the plants. In this paper, the Intelligent Fertilization System Based on Image Recognition will be introduced but base on the data leakage of dataset, it requires the plants to be pictured in the same background.

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来源期刊

2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)

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