Analytical Study on IoT and Machine Learning based Grading and Sorting System for Fruits

Pratiksha Nirale, M. Madankar
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引用次数: 1

Abstract

In this age of modern farming, it is very important to grow in terms of quality practice and the number of products offered. As in India, many people depend on growing crops and fruits. When it comes to counting and sorting fruits and vegetables by hand it takes a much higher amount of remuneration to pay the workers and they will not be able to get a good result. So, to overcome this problem of farmers and strengthen them with a low-cost savings plan this is the IoT and Machine Learning priority and fruit planning. In this research machine learning is used to detect the fruit phase and the recording process, the IoT camera is used with the microcontroller module which will be available to connect to coding and show computer usage.
基于物联网和机器学习的水果分级分拣系统分析研究
在这个现代农业的时代,在质量实践和提供的产品数量方面增长是非常重要的。在印度,许多人依靠种植庄稼和水果为生。当涉及到手工计算和分类水果和蔬菜时,支付工人的报酬要高得多,他们将无法获得良好的结果。因此,为了克服农民的这个问题,并通过低成本的储蓄计划来加强他们,这是物联网和机器学习的优先事项和水果规划。在本研究中,机器学习用于检测水果阶段和记录过程,物联网摄像头与微控制器模块一起使用,微控制器模块可用于连接编码并显示计算机使用情况。
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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