基于物联网的农场新鲜度移动应用调查

B. Swathi, P. T, P. S, Shankar Y, G. V.
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引用次数: 1

摘要

在防止食物浪费方面,食品安全和卫生是主要问题。在印度的主要市场,由于温度和湿度的波动,水果和蔬菜被浪费了。应该检查食物(水果和蔬菜)的质量,并且应该防止它们因温度、湿度和阴影等大气因素而腐烂和腐烂,这有助于农民在运输过程中保存食物(水果和蔬菜)。本文将构建一个基于物联网的Android应用程序,用于监测环境元素,如热量、湿度、酒精百分比和光照。Arduino UNO,一个著名的流行工具板,是这个设备的核心。不同的传感器连接到微控制器板,如DHT11, MQ3, LDR, 16 × 2美元LCD, ESP8266 Wi-Fi和图像传感器,这些传感器都连接到一个Android应用程序,在这个应用程序中,用户会收到定义食品质量的实时数据通知。机器学习将用于分析应用程序捕获的图像并预测食物的状况。该应用程序包括一个聊天机器人,可以提供有关食品质量的信息。该应用程序将根据用户的位置推荐附近的有机商店。该应用程序还将支持多语言,如英语、泰卢古语、泰米尔语、卡纳达语和印地语,这将帮助农民和利益相关者用当地语言理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Survey on IoT based Farm Freshness Mobile Application
Food safety and hygiene are major concerns when it comes to preventing food waste. In India's major markets the fruits and vegetables are getting wasted due to temperature and humidity fluctuations. The quality of the food (fruits and vegetables) should be examined, and they should be guarded from rotting and decaying due to atmospheric aspects like temperatures, moisture, and shade, which help farmers conserve the food (fruits and vegetables) while in transit. An Android application based on the Internet of Things will be built in this article to monitor environmental elements such as heat, moisture, alcohol percentage, and light exposed. The Arduino UNO, a well-known popular tooling board, is at the heart of this device. Different sensors are interfaced to the Microcontroller board such as the DHT11, MQ3, LDR, $16\times 2$ LCD, ESP8266 Wi-Fi, and Image sensor, which are all connected to an Android app where the user is notified with real-time data that defines the food quality. ML will be used to analyze the image captured by the app and predict the condition of the food. The app includes a chatbot that provides information on food quality. The app will suggest nearby organic stores based on the user's location. The app will also support Multilanguage's like English, Telugu, Tamil, Kannada and Hindi which will help the farmers, stakeholders to understand in their local language.
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