scholarly journals Design and Development of Automatic Micro Controller based Weather Forecasting Device

2020 ◽  
Vol 2 (1) ◽  
pp. 1-9
Author(s):  
Dr. Bindhu V

The entailment for weather forecasting to take the essential pre-cautious measures in our regular routines and elude the unwanted fatalities has made this more attractive area of research. Particularly in the rural areas the weather forecasting enables the farmers to have an effective crop management, avoiding the destruction in the crops and increasing the yield. In order to have a real time weather forecasting the proposed method in the paper tries to develop an automatic weather forecasting device based on the microcontroller. The proposed method utilizes the sensors to monitor the weather changes and engages the raspberry pi to process the information gathered and convey it to the end user. The proposed system was tested by implementing it in the Indian delta districts and the accuracy, precision and flexibility in the forecasting was evinced by the data output observed over and done with the Thinkspeak .Web

2015 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Irwansyah Irwansyah ◽  
Hendra Kusumah ◽  
Muhammad Syarif

Along with the times, recently there have been found tool to facilitate human’s work. Electronics is one of technology to facilitate human’s work. One of human desire is being safe, so that people think to make a tool which can monitor the surrounding condition without being monitored with people’s own eyes. Public awareness of the underground water channels currently felt still very little so frequent floods. To avoid the flood disaster monitoring needs to be done to underground water channels.This tool is controlled via a web browser. for the components used in this monitoring system is the Raspberry Pi technology where the system can take pictures in real time with the help of Logitech C170 webcam camera. web browser and Raspberry Pi make everyone can control the devices around with using smartphone, laptop, computer and ipad. This research is expected to be able to help the users in knowing the blockage on water flow and monitored around in realtime.


2020 ◽  
Vol 14 (2) ◽  
pp. 194-204
Author(s):  
Anuradha Tomar

Background: Despite so many developments, most of the farmers in the rural areas are still dependent on rainwater, rivers or water wells, for irrigation, drinking water etc. The main reason behind such dependency is non-connectivity with the National grid and thus unavailability of electricity. To extract the maximum power from solar photovoltaic (SPV) based system, implementation of Maximum Power Point Tracking (MPPT) is mandatory. PV power is intermittent in nature. Variation in the irradiation level due to partial shading or mismatching phenomena leads to the development of modular DC-DC converters. Methods: A stand-alone Multi-Input Dual-Output (MIDO) DC-DC converter based SPV system, is installed at a farm; surrounded with plants for water pumping with stable flow (not pulsating) along with battery energy storage (BES) for lighting. The proposed work has two main objectives; first to maximize the available PV power under shadowing and mismatching condition in case of series/ parallel connected PV modules and second is to improve the utilization of available PV energy with dual loads connected to it. Implementation of proposed MIDO converter along with BES addresses these objectives. First, MIDO controller ensures the MPPT operation of the SPV system to extract maximum power even under partial shading condition and second, controls the power supplied to the motor-pump system and BES. The proposed system is simulated in MATLAB/ SIMULINK environment. Real-time experimental readings under natural sun irradiance through hardware set-up are also taken under dynamic field conditions to validate the performance. Results and Conclusion: The inherent advantage of individual MPPT of each PV source in MIDO configuration, under varying shadow patterns due to surrounding plants and trees is added to common DC bus and therefore provides a better impact on PV power extraction as compared to conventional PV based water pumping system. Multi-outputs at different supply voltages is another flag of MIDO system. Both these aspects are implemented and working successfully at 92.75% efficiency.


1991 ◽  
Vol 8 (6) ◽  
pp. 241
Author(s):  
Bhanu Pokkunuri ◽  
John Readle ◽  
Peter Watson

Inventions ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 42
Author(s):  
Worasit Sangjan ◽  
Arron H. Carter ◽  
Michael O. Pumphrey ◽  
Vadim Jitkov ◽  
Sindhuja Sankaran

Sensor applications for plant phenotyping can advance and strengthen crop breeding programs. One of the powerful sensing options is the automated sensor system, which can be customized and applied for plant science research. The system can provide high spatial and temporal resolution data to delineate crop interaction with weather changes in a diverse environment. Such a system can be integrated with the internet to enable the internet of things (IoT)-based sensor system development for real-time crop monitoring and management. In this study, the Raspberry Pi-based sensor (imaging) system was fabricated and integrated with a microclimate sensor to evaluate crop growth in a spring wheat breeding trial for automated phenotyping applications. Such an in-field sensor system will increase the reproducibility of measurements and improve the selection efficiency by investigating dynamic crop responses as well as identifying key growth stages (e.g., heading), assisting in the development of high-performing crop varieties. In the low-cost system developed here-in, a Raspberry Pi computer and multiple cameras (RGB and multispectral) were the main components. The system was programmed to automatically capture and manage the crop image data at user-defined time points throughout the season. The acquired images were suitable for extracting quantifiable plant traits, and the images were automatically processed through a Python script (an open-source programming language) to extract vegetation indices, representing crop growth and overall health. Ongoing efforts are conducted towards integrating the sensor system for real-time data monitoring via the internet that will allow plant breeders to monitor multiple trials for timely crop management and decision making.


2021 ◽  
Vol 1098 (4) ◽  
pp. 042090
Author(s):  
D Kurnia ◽  
F S Hadisantoso ◽  
A A Suprianto ◽  
E A Nugroho ◽  
J Janizal

2021 ◽  
Vol 7 (1) ◽  
pp. 43-48
Author(s):  
Agung Raharjo ◽  
Eko Kuncoro ◽  
Imam Azhar

Seiring dengan perkembangan teknologi komunikasi dan otomasi, pelaksanaan tugas militer dapat dibantu dengan mengembangkan alutsista militer. Salah satunya pengembangan robot tempur yang akan digunakan sebagai alat untuk membantu tugas operasi jarak jauh pada satuan tempur TNI AD. Pada robot tempur tersebut akan ditanamkan sistem komunikasi data berupa perintah kendali laju robot, perintah kendali senjata serang, dan sistem visualisasi yang dapat digunakan untuk mendukung pergerakan robot hingga mencapai sasaran yang ditentukan, serta sebagai sistem penginderaan jarak jauh robot tempur untuk memonitor area musuh yang akan ditinjau. Operator menggunakan sebuah joystick untuk mengendalikan robot tempur dan tablet Android untuk memantau dan mendeteksi arah sasaran. Penelitian ini membahas tentang perancangan pendeteksian sasaran tembak yang dapat dikendalikan dari jarak jauh. Metode yang digunakan adalah metode eksperimen berbasis PID. Penelitian ini berfokus pada pendeteksian sasaran tembak yang nantinya akan terhubung dengan Raspberry Pi 3, sehingga senjata dapat mendeteksi adanya sasaran tembak yang ada di dalam jangkauan sensor posisi. Hasil dari penelitian menunjukkan bahwa robot dapat dikendalikan dengan mudah menggunakan joystick dan secara real-time terlihat pada layar Android yang terpasang pada kontrol joystick tersebut. Selain itu, sistem juga dapat membedakan antara sasaran tembak dan objek yang bukan sasaran tembak. Penelitian ini diharapkan dapat mendukung tugas operasi personel TNI dalam menjalankan misinya dengan memanfaatkan robot tempur. Along with the development of communication and automation technology, the implementation of military duties can be assisted by developing military defense equipment. One of them is the development of a combat robot that will be used as a tool to assist the task of long-distance operations on the Army combat unit. In the combat robot, a data communication system will be implanted in the form of a robot rate control command, an attack weapon control command, and a visualization system that is used to support the robot's movement to reach the target specified as a combat robot's remote sensing system for monitoring enemy areas to be reviewed. The operator has used a joystick to control the combat robot and to detect the direction of the target can be monitored with an android tablet. This research discusses the design of the detection of target fire that can be controlled remotely. The method used is experimental based on PID. This research focused on detecting firing targets that will be connected with Raspberry Pi 3 so that the weapon can detect the presence of firing targets within the position sensor. The results of the research show that the robot can be easily controlled using a Joystick and in real-time visible on the Android screen mounted on the Joystick control, the system can distinguish between target shooting and non-target objects. This research is expected to support the operational duties of army personnel in carrying out their missions by utilizing combat robots.


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