scholarly journals Android Application for Monitoring Soil Moisture Using Raspberry Pi

2017 ◽  
Author(s):  
Lily Puspa Dewi ◽  
Justinus Andjarwirawan ◽  
Robin Putra Wardojo
Keyword(s):  
Soil Moisture ◽  
Raspberry Pi ◽  
Android Application

Direction and Speed Control of DC Motor Using Raspberry PI and Python-Based GUI

2021 ◽  
Vol 5 (2) ◽  
pp. 74-87
Author(s):  
Anup Kumar Kolya ◽  
Debasish Mondal ◽  
Alokesh Ghosh ◽  
Subhashree Basu
Keyword(s):  
Smart Phone ◽  
Dc Motor ◽  
Raspberry Pi ◽  
Android Application ◽  
Android Apps ◽  
Design And Implementation ◽  
Java Platform ◽  
Developer Tools ◽  
User Friendly ◽  
And Control

This paper presents the design and implementation of control strategy for both the speed and direction of a direct current (DC) motor using Android-based application in smart phone. The Raspberry Pi 3 with a motor driver controller has been used to implement the control action via Python-based user-defined programming. The Android application has been developed using Android Developer Tools (ADT) in Java platform. The Android apps work like a client and communicates with Raspberry Pi through wi-fi connectivity. Finally, a small graphical user interface (GUI) has been created in Python in order to interface and control the motor with buttons in GUI. The advantages of GUI are that it is attractive, user friendly, and even a layman can work with the application developed in GUI.

scholarly journals IoT-Based of Automatic Electrical Appliance for Smart Home

2020 ◽  
Vol 14 (18) ◽  
pp. 204
Author(s):  
Intan Sari Areni ◽  
Ahmad Waridi ◽  
Indrabayu Amirullah ◽  
Christoforus Yohannes ◽  
Armin Lawi ◽  
...  
Keyword(s):  
Temperature Sensor ◽  
Smart Home ◽  
Electrical Equipment ◽  
Raspberry Pi ◽  
Air Conditioner ◽  
Android Application ◽  
Remote Control System ◽  
Controlling System ◽  
Electrical Appliance ◽  
Mit App Inventor

The remote control system on electrical equipment in the room can be fulfilled through the internet as an IoT (Internet of Things) implementation. All devices managed from one interface, so home appliances management delivered quickly and conveniently. The main contribution in this research is IP based controlling for rooms with control lights and vertical curtains, and also the temperature of the air conditioner (AC) with IoT Technology. The used hardware is Raspberry Pi 3 as a server, Relay, motor stepper, IR led Transmitter, and temperature sensor DS18B20. For implementation, an android application is built by MIT App Inventor 2. The results show that all features function correctly, but each device responds with a different delay value.  Delay time response of a lamp, vertical blind, and AC is up to 1.5 sec, 2.1 sec, and 1.6 sec, respectively.electrical appliances, IoT, controlling system, smart room

scholarly journals PENGANGKAT BARANG PADA KONDISI BANJIR BERBASIS RASPBERRY PI MELALUI TWITTER SEBAGAI OUTPUT MEDIA INFORMASI

2015 ◽  
Vol 1 (1) ◽  
pp. 74-85
Author(s):  
Ferry Sudarto ◽  
Eka Purwandari ◽  
Aldien Sora Andrea
Keyword(s):  
Soil Moisture ◽  
Raspberry Pi ◽  
Servo Motor ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Output Information ◽  
Physical Output ◽  
Lifting Equipment

Appointment of goods is essential in the operation of the company. Currently forklift with manual or automatic that has not been working efficiently. Especially forklift in flood conditions. So we need tools that work the forklift automatically on flood conditions, the process of appointment, and notify the results of such appointments by personal message via the output of media-based Raspberry Pi Twitter. The circuit uses a forklift Soil Moisture Sensor is used to detect water in the vicinity of the sensor. Raspberry Pi will process the input and give orders to the Motor Servo work to move the hinge table so the table is automatically lifted. Lifting these goods become important in minimizing damage toproperties affected by flooding. So as to improve the efficiency of lifting equipment goods in flood conditions. If the Soil Moisture Sensor exposed to water it will automatically give the data to the Raspberry Pi and processed into information. Once processed, the Raspberry Pi will give two orders to Twitter as output information and the Servo Motor as the physical output will move. The process that is done it does not take long, after the sensor is exposed to water, the appliance works with a period of about 1-2 minutes. Then the items on the table would be safe to avoid flooding with automatic.

scholarly journals IoT based Raspberry Pi Crop Vandalism Prevention system

2019 ◽  
Vol 9 (1) ◽  
pp. 3188-3192 ◽  
Keyword(s):  
Soil Moisture ◽  
Food Production ◽  
Irrigation System ◽  
Protection System ◽  
Population Increase ◽  
Raspberry Pi ◽  
Agricultural Fields ◽  
Important Process ◽  
Prevention System ◽  
Automated Irrigation System

Agriculture is a major source of food production in our country. Growth in population increase the demand for food production and agriculture is the main source. Irrigation in agriculture is an important process that affects the development of crops. In particular, farmers visit their agricultural fields regularly to check the level of soil moisture and water is pumped by motors to irrigate their respective fields on the basis of requirements. But the limitation of protecting crops from animals becomes a major concern for yield. This works presents the protection system in addition to the automated irrigation system.

Internet of Things (IoT) Based surgery with Innovative Combination of Artificial Intelligence and Human Intelligence

2021 ◽  
Vol 10 (02) ◽  
pp. 01-05
Author(s):  
R. Samyuktha ◽  
B. Gayathri
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Medical Practitioner ◽  
Raspberry Pi ◽  
Medical Procedures ◽  
Android Application ◽  
Surgery Complications ◽  
Clinical Practices ◽  
Post Surgery ◽  
User Friendly

While examining the historical backdrop of clinical procedure, we can understand that medical practitioner have/had created and refined instruments for complicated surgeries. Development in clinical progressions is on a standard with that saw in the sickness causing specialists and infections. Since ancient time, clinical practices were performed using obtrusive medical procedures without sedation, which resulted in high mortality and post-surgery complications. This led to the emergence of effective, safe and user friendly medical instruments and procedures with little to moderately death rate. At present obtrusive methodologies are negligibly practiced, but provides less twisted related complexities, fast organ work return, and more limited hospitalizations. The success of these methods has prompted for higher acknowledgment of picture guided surgeries. We present an Internet Of things (IOT) and Artificial Intelligence (AI) based model that includes a computer generated experience based (VR-based) User interface and some benefits and limitations. It can be done by Raspberry pi, android application and also done by Sap cloud system.

scholarly journals Raspberry Pi for Autonomous Home Farm Control

2021 ◽  
Author(s):  
Ildar Rakhmatulin
Keyword(s):  
Neural Network ◽  
Soil Moisture ◽  
Air Temperature ◽  
Soil Ph ◽  
Weather Conditions ◽  
Co2 Concentration ◽  
Raspberry Pi ◽  
Air Humidity ◽  
Optimal Temperature ◽  
Earth Temperature

This manuscript presented an autonomous home farm for predicting metrological characteristics that can not only automate the process of growing crops but also, due to a neural network, significantly increase the productivity of the farm. The developed farm monitors and manages the following indicators: illumination, soil PH, air temperature, earth temperature, air humidity, CO2 concentration, and soil moisture. The presented farm can also be considered as a device for testing various weather conditions to determine the optimal temperature characteristics for different crops. This farm as a result is completely autonomous grows tomatoes at home.

scholarly journals IoT Based Automatic Soil Moisture Monitoring System using Raspberry PI

2019 ◽  
Vol 9 (2) ◽  
pp. 4375-4379 ◽  
Keyword(s):  
Soil Moisture ◽  
Internet Of Things ◽  
Water Level ◽  
Soil Water ◽  
Monitoring System ◽  
Irrigation System ◽  
Irrigation Scheduling ◽  
Advanced Technology ◽  
Raspberry Pi ◽  
The World

Internet of Things (IoT) is an advanced technology for monitoring and controlling device anywhere in the world. It can connect devices with living things. Agriculture is one of the major sectors which contribute a lot to the financial of India and to get quality product, proper irrigation has to be performed, to reduce man power using modern technology of internet of things IoT in today’s life. Soil moisture is an integral part of plant life, which directly affects crop growth and yield, as well as irrigation scheduling. This system will be a substitute to traditional farming method. We will develop such a system that will help a farmer to know his field status in his home or he may be residing in any part of the world. It proposes an automatic irrigation system for the agricultural lands. Currently the automation is one of the important roles in the human life. It is not only provides comfort but also efficiency and time saving. So here it is also designs a smart irrigation technology by using raspberry pi and connecting to the weather API. Raspberry-pi is the main heart of the whole system. An automated irrigation system was developed to optimize water use for agricultural crops. Automation allows us to control appliances automatically. The objectives of this to control the water motor automatically, To monitor the soil, water level using weather API.A robotized irrigation system framework might have been created should streamline water utilize to agriculture crops. Mechanization permits us with control appliances naturally. Those targets for this on control those water motor naturally monitor the soil, water level utilizing weather API In previously we are using the soil moisture control by using some set of sensors by this water is pumping continuously even though it is rainy.so by this over flow of the water is taken place to overcome this problem we are using the cloud monitoring system based on the weather conditions.

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