scholarly journals Drones for Agriculture

Author(s):  
Noor Khaled Ellithy ◽  
Orob Kifah Balaawi ◽  
Alaa Khaled Alnakeeb

Taking measurements for agriculture purposes is a challenge that this project tackles. A UAV and some sensors are being used to monitor a big field. The target of this project is to design a fully autonomous system that covers the area of planted land. The system collects information and sends what is collected directly to the base station. Furthermore, the design is divided into two parts: plane design and ground design. The plane design includes a temperature sensor, a CO2 sensor, a NoIR camera, a regular camera and a 4G dongle. The ground design, however, has one soil moisture sensor, one H2S sensor and a GSM module. The plane takes a trip around the field to record real time data and transmits, while the on-ground black box sends data to the base station. Finally, data is analysed, and reports are sent to the base station and the mobile application created for this cause. The plane has carried tests in the airport in Al-Khor city. The tests were to make sure the UAV flies properly and they were successful.

Author(s):  
K. Akanksha

Nowadays gardening has become a hobby for everyone. Everyone is showing interest in growing their own plants in their houses like terrace farming. So we have decided to do a project which can be useful for everyone even the farmers can be benefitted by our project. In our project we are preparing a greenhouse for cultivating different kinds of crops. Our greenhouse consists of arduino UNO, sensors like (temperature sensor, soil moisture sensor, colour sensor and light sensor), actuators. All these are used in sensing the outside environment and giving signals to arduino so that it sends the signal through GSM module and this GSM module will give us a message alert through our mobile phones like for example if the moisture is less in soil then we will get alert “your moisture has decreased water the plants” so that we can turn on our motor pumps to water. Here we are using thingspeak cloud for coding the arduino through IOT. Our project will also do its watering by itself when the moisture level decreases, this is done by soil moisture sensor. It is very reasonable and complete greenhouse can be constructed under Rs.10,000 which can save lots of money for the farmers. The crop yield will also be very good and this will be useful in increasing the economy of farming.


2019 ◽  
Vol 7 (2) ◽  
pp. 22-32
Author(s):  
Anita Shukla ◽  
◽  
Ankit Jain ◽  

Present work focuses on need of automation in farming by using IOT technology. Automation of farming envisages monitoring and controlling of various parameters which could be helpful in increasing productivity. The proposed system provides a technological solution to the various problems like, maintenance of water requirements, humidity level, maintenance of proper temperature, and proper availability of light for sophisticated plants, fire alert and to keep a check on unwanted entry in the farming lands including timely and sufficient supply of electricity. This hardware provides an effective and efficient solution to the defined problems in Indian farming system by using node MCU Wi-Fi module. Different sensors like humidity sensor, soil moisture sensor, PIR sensor, fire sensor, light sensor and temperature sensor have been used for monitoring and controlling of various problems technologically. In proposed system a Wi-Fi module has been used which automatically informs the farmer about the water requirement, site temperature, humidity and moisture, light, fire alert and about the unwanted occupancy or encroachment by displaying real time data which can be seen and accessed over internet using IOT technology from anywhere in the world. System is equipped with solar panel which provides power backup to the system even in the absence of power supply. We have used five different sensors on three different plants with different environmental conditions and the performances of different sensors are found to be upto the desired expectations.


2018 ◽  
Vol 173 ◽  
pp. 02029
Author(s):  
XU Jiahui ◽  
YU Hongyuan ◽  
WANG Gang ◽  
WANG Zi ◽  
BAI Jingjie ◽  
...  

The rapid development of mobile Internet technology and the wide spread of smart terminals have brought opportunities for the transformation of power grid business model. Compared to the non-real-time information, the real-time and running data of dispatch and control domain is easy to be intercepted and cracked. To solve this problem, this paper presents a new approach to mobile application security framework for the power grid control field. It is to realize secondary encryption by using the method of MD5+AES mixed encryption algorithm and combining the time stamp in real-time data transmission process. At the same time it is to prevent cross-border operations and brute force by using Token authentication and Session technology. China EPRI safety test results show that the application of the framework significantly improves the integrity, safety and reliability of real-time data in power grid control.


2021 ◽  
Author(s):  
Mustafa Ahmed ◽  
Mohammed Houkan ◽  
Kishor Kumar Sadasivuni

The present study conceptualizes fusion of artificial intelligence and contract tracking mobile application for predicting the COVID-19 hot spots. The findings suggest that mobile technology can be used to provide real-time data on the national and local state of the pandemic, enabling policy makers to make informed decisions in a quickly moving pandemic.


2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
T. Vigneswari ◽  
M. A. Maluk Mohamed

Advances in microelectromechanical systems (MEMS) and nanotechnology have enabled design of low power wireless sensor nodes capable of sensing different vital signs in our body. These nodes can communicate with each other to aggregate data and transmit vital parameters to a base station (BS). The data collected in the base station can be used to monitor health in real time. The patient wearing sensors may be mobile leading to aggregation of data from different BS for processing. Processing real time data is compute-intensive and telemedicine facilities may not have appropriate hardware to process the real time data effectively. To overcome this, sensor grid has been proposed in literature wherein sensor data is integrated to the grid for processing. This work proposes a scheduling algorithm to efficiently process telemedicine data in the grid. The proposed algorithm uses the popular swarm intelligence algorithm for scheduling to overcome the NP complete problem of grid scheduling. Results compared with other heuristic scheduling algorithms show the effectiveness of the proposed algorithm.


2021 ◽  
Author(s):  
Maneesha Vinodini Ramesh ◽  
Ramesh Guntha ◽  
Christian Arnhardt ◽  
Gargi Singh ◽  
Viswanathan Kr ◽  
...  

<p>Monsoons are characterised by the widespread occurrence of  landslides. Tracking each landslide event, developing early warning thresholds, understanding triggers, and initiating disaster rescue and relief efforts are complex for researchers and administration. The ever increasing landslides demand real-time data collection of events to enhance disaster management. In this work we designed and developed a dedicated crowd sourced mobile application, for systematic way of collection, validation, summarization, and dissemination of landslide data in real-time. This unique design of mobile app uses a scalable real-time data collection methodology for tracking landslide events through citizen science, and is available on Google Play Store for free, and at http://landslides.amrita.edu, with software conceived and developed by Amrita University in the context of the UK NERC/FCDO funded LANDSLIP research project (http://www.landslip.org/). This work implemented a structured database that integrates heterogeneous data such as text, numerical, GPS location, landmarks, and images. This methodology enables real-time tracking of landslides utilizing the details such as GPS location, date & time of occurrence, images, type, material, size, impact, area, geology, geomorphology, and comments in real-time. The mobile application has been uniquely designed to avoid missing landslide events and to handle the tradeoff between real-time spatial data collection without compromising the reliability of the data.  To achieve this a multi level user account was created based on their expert levels such as Tracker, Investigator, Expert.  A basic tracking form is presented for the Tracker level, and an extensive form is presented to the Expert level. The reliability of landslide data enhances as the user level increases from Tracker to Expert. Unique UI designs have been utilized to capture, and track the events. The tracking interface is divided into multiple screens; the main screen captures the landslide location through GPS enabled map interface and captures the date/time of the occurrence. Three additional screens capture images, additional details and comments. The 40 questions for landslide event collection used by the Geological Survey of India has been adapted through the collaborative effort of LANDSLIP partners to collect the additional details. The submitted landslides are immediately available for all users to view. The User can view entered landslides through the landslide image listing, Google maps interface, or tabular listing. The landslides can be filtered by date/time and other parameters. The mobile app is designed to be intuitive and fast, and aims to increase awareness about landslide risk through the integrated short documents, and videos. It has guidelines for safety, capturing images, mapping, and choosing the data from the multiple options. The uniqueness of the proposed methodology is that it enhances community participation, integrates event data collection, event data organizing, spatial and temporal summarization, and validation of landslide events and the impact. It pinpoints, maps and alerts real-time landslide events to initiate right disaster management activities to reduce the risk level. The Landslide tracker app was released during the 2020 monsoon season, and more than 250 landslides were recorded through the app.</p>


Author(s):  
Sumudu Hasala Marakkalage ◽  
Billy Pik Lik Lau ◽  
Sanjana Kadaba Viswanath ◽  
Chau Yuen ◽  
Belinda Yuen

Author(s):  
Mohammed Murad ◽  
Oguz Bayat ◽  
Hamzah M. Marhoon

<span>Besides the development of technology in recent years, there has been an effective tendency to construct smart cities and homes. Whereas the smart home control system components can be incorporated with the existing home appliances to eliminate the need for human intervention, save electricity, protect homes from accidents as well as the theft, and provide home residents with comfort. This work comprises the utilising of the internet of things (IoT) technology to build the proposed design for the smart home. The proposed design includes many subsystems as well as several types of sensors, such as the passive infrared (PIR) sensor, the gas sensor, the soil moisture sensor, the water level sensor, the temperature sensor, the light dependent resistance (LDR), and the flame sensor. Each sensor will be connected to the Arduino Nano for the data processing purpose, after which the Arduino Nano will be connected to the NodeMCU module via the digital pins to implement the IoT subsystem. The proposed system also includes a smart garage gate based on Bluetooth HC-05 module with a specially programmed android app. </span>


Sign in / Sign up

Export Citation Format

Share Document