Abstract

In advancement with the rapid emergence of IoT-based technologies Smart farming industry created revolutionary changes with existing farming methods. However, the quality of farming methods and framing products were decreased. So our “Smart farming using IoT” system hardware integrated with a software application that provides suggestions to farmers when the hardware system analyses the soil. After analyzing the characteristics and quality of the soil with the hardware system consisting of various sensors like DHT11 sensor and Soil moisture sensor, it provides the analyzed data to the application via the Internet. Then this application compares the data in the database and provides user suggestions and also remotely monitor and control equipment like drip irrigation system and electric fencing, etc. The database system analyses the data provided by the hardware as input and gives the user suggestions like, which crop is best suited for this soil, its organic farming methods and irrigation methods, etc. After that, it can also predict any animal intrusion by using a PIR sensor. This application mainly uses data analytics and database management techniques to derive suitable crops and their cultivation methods from the data sets that were collected from the research centers and organic farmers. And also helps to monitor and control farmland using IoT.

Highlights

  • After analyzing the characteristics and quality of the soil with the hardware system consisting of various sensors like DHT11 sensor and Soil moisture sensor, it provides the analyzed data to the application via the Internet

  • The database system analyses the data provided by the hardware as input and gives the user suggestions like, which crop is best suited for this soil, its organic farming methods and irrigation methods, etc

  • It can predict any animal intrusion by using a Passive Infrared (PIR) sensor. This application mainly uses data analytics and database management techniques to derive suitable crops and their cultivation methods from the data sets that were collected from the research centers and organic farmers

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Summary

Introduction results in the production of poor quality and

Food is the essential thing for every living being to unhealthy crops. [1] With the advancement of new survive and Agriculture is the only way to produce technologies nowadayssensor systems have food. [6-9]This system is a combination of various technologies using sensors, IoT, and data analytics to gather data and process the data to give suggestions regarding which is the suitable crop for the soil and its irrigation method by Information and Communication Technologies to provides simple and cost-effective techniques for farmers to enable precision agriculture guide new farmers and remotely monitoring their field, harvest crops, and control farming equipment with the help of the smart farming application The information such as temperature, humidity, soil moisture level, the water level of the farmlandis intimated to the farmers by the smart farming application and instructs the farmers to follow traditional agriculture to improve the yield, quality of crops, and the overall production rate.[1011]

Problem Identification
Proposed System
Data collection and Analysis
Android application: humidity sensor and thermistor to measure the
Methodology: predicting the changes in climatic conditions and
Sensor Monitoring System: measuring the volumetric water content in which
DHT11 Sensor: moisture content it suggests a suitable crop be
Findings
Android monitoring and control system: Reference

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