Smart Harvest Analysis Using Raspberry Pi Based on Internet of Things

Current Agri-tech systems are expensive and are only used by large industries. Our research work Smart Harvest Analysis using Raspberry Pi (SHARP) offers an affordable solution to help farmers get maximum yield by predicting the right crop to be grown. Our project aims to be simple, compact and also...

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Bibliographic Details
Published in2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA) pp. 1 - 5
Main Authors Negi, Dhira, Kumar, Ajit, Kadam, Pradnya, Savant, Bhairavi N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2018
Subjects
Cloud computing
Conferences
Dashboard
ESP8266 Wi-Fi Module
Irrigation
MQTT Broker
Raspberry Pi
Server
SHARP
Soil
Ultrasonic Sensor
Water resources
Wireless fidelity
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Summary:Current Agri-tech systems are expensive and are only used by large industries. Our research work Smart Harvest Analysis using Raspberry Pi (SHARP) offers an affordable solution to help farmers get maximum yield by predicting the right crop to be grown. Our project aims to be simple, compact and also very cost effective. It also features a responsive dashboard and graphs to control motors, monitor topographical data which can be viewed from any device such as mobile phones, tablets or computers. SHARP includes water level management, automatic irrigation and predictive analysis of farm lands. Cloud/Raspberry Pi server with database (stores the data) has been deployed for the prediction of crop yield by Machine learning algorithm. The data gathered over time can be very much helpful for the calculation and take right decisions to grow the right crop, overall it helps the farmers. It also provides the manual and automatic control of the motor from the dashboard to further help farmers to manage their farms irrigation system. This will also help in water resource management (no wastage of water due to automatic control). Product quality, higher crop productivity, resource conservation and cost control are the promises of our project.
DOI:10.1109/ICCUBEA.2018.8697780