scholarly journals Development of an Automated Real-Time System for Soil Temperature and Moisture Measurement

2019 ◽  
Vol 11 (2) ◽  
pp. 192
Author(s):  
Anibal Mantovani Diniz ◽  
Márcio Antonio Vilas Boas ◽  
Marcelo Bevilacqua Remor ◽  
Jair Antonio Cruz Siqueira ◽  
Luciene Kazue Tokura

This trial goes along with irrigation systems based on the development and use of free software and hardware for direct measurements of soil moisture and temperature throughout the plant cycle. Thus, irrigation systems can optimize water use during the process at lower cost regarding TDR application. Four humidity sensors were used: one was resistive, and three capacitors were interconnected in a mesh network system. Thus, this research was carried out in laboratory and the studied soil was characterized as a typical dystroferric Red Latosol (Oxisol) with very clayey texture (66%). Soil clods were undone and dried in a greenhouse, then divided in 20 containers with addition of known volumes of water in each one. A network of mesh-type node sensors has been developed based on Arduino technology to read and transmit data to a single gateway. The sensor node was designed and built with Arduino Nano, radio NRF24L01, capacitive sensors of type SHT20 and DHT22, in addition to FC-28 that is resistive. The system also featured a Real Time Clock DS1302, three photovoltaic cells and circuit battery charger. Domoticz software was used to store data and make them available on a server connected to the internet. Cubic modeling was one of the results of the relation among each sensor, TDR and the greenhouse method. The resistive sensor showed very close values to the TDR in its model as well as the set of the monitoring system showed low cost in relation to TDR.

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Yong He ◽  
Hong Zeng ◽  
Yangyang Fan ◽  
Shuaisheng Ji ◽  
Jianjian Wu

In this paper, we proposed an approach to detect oilseed rape pests based on deep learning, which improves the mean average precision (mAP) to 77.14%; the result increased by 9.7% with the original model. We adopt this model to mobile platform to let every farmer able to use this program, which will diagnose pests in real time and provide suggestions on pest controlling. We designed an oilseed rape pest imaging database with 12 typical oilseed rape pests and compared the performance of five models, SSD w/Inception is chosen as the optimal model. Moreover, for the purpose of the high mAP, we have used data augmentation (DA) and added a dropout layer. The experiments are performed on the Android application we developed, and the result shows that our approach surpasses the original model obviously and is helpful for integrated pest management. This application has improved environmental adaptability, response speed, and accuracy by contrast with the past works and has the advantage of low cost and simple operation, which are suitable for the pest monitoring mission of drones and Internet of Things (IoT).


Author(s):  
Husam Kareem

<p>A major issue that happens in kitchens of houses and/or restaurants is the leakage of gas used as a fuel for cooker stove, which is commonly referred to as LPG (liquefied petroleum gas). LPG leakage may lead to a serious fire or even a deadly explosion that might affect the surrounding people. A substantial solution to avoid such disasters is by stopping its main cause. Therefore designing a device capable of monitoring and detecting such gases can minimize the dangerous and unwanted incidents by LPG leakage. This paper introduces a low cost and energy efficient real-time monitoring system that able to sense different dangerous gases, specifically those used for stove cooker. This system considers the pros of the previously introduced systems and fixes the cons available in those systems. In addition, the manufacturing cost has been taken into consideration. If the system senses any type of LPG gas (there is a gas leakage), it will react by making three different actions. It will make an alert sound to notify the people around the leakage place, send an SMS to two cell phones, and show, on an LCD screen, the leakage location.</p>


Author(s):  
Mlađan Jovanovic´ ◽  
Dusˇan Starcˇevic´ ◽  
Zoran Jovanovic´

Uninhabited vehicles can be used in many applications and domains, particularly in environments that humans cannot enter (e.g. deep sea) or prefer not to enter (e.g. war zones). The promise of relatively low cost, highly reliable and effective assets that are not subject to the physical, psychological or training constraints of human pilots has led to much research effort across the world. Due to technological advances and increasing investment, interest in Unmanned Aerial Vehicles (UAVs) as a practical, deployable technological component in many civil applications is rapidly increasing and becoming a reality, as are their capabilities and availability. UAV platforms also offer a unique experimental environment for developing, integrating and experimenting with many other technologies such as automated planners, knowledge representation systems, chronicle recognition systems, etc. UAV performs various kinds of missions such as mobile tactical reconnaissance, surveillance, law enforcement, search and rescue, land management, environmental monitoring, disaster management. UAV is a complex and challenging system to develop. It operates autonomously in unknown and dynamically changing environment. This requires different types of subsystems to cooperate. In order to realize all functionalities of the UAV, the software part becomes very complex real-time system expected to execute real-time tasks concurrently. This paper describes proposed software architecture for GCS (Ground Control Station) for lightweight UAV purpose-built for medium-scale reconnaissance and surveillance missions in civil area. The overall system architecture and implementation are described.


The significant crunch in the Current world is Water pollution. It has created an abundant influence on the Environment. With the intention of the non-toxic distribution of the water and its eminence should be monitored at real time. This paper suggested the smart detection with low cost real time system which is used to monitor the quality of water through IOT(internet of things). The system entail of different sensors which are used to measure the physical and chemical parameters of the water. The quality parameters are temperature, pH, turbidity, conductivity and Total dissolved solids of the water are measured. Commercially available products capable of monitoring such parameters are usually somewhat expensive and the data’s are collected by mobile van. Using Sensor technology provides a cost-effective and pre-eminent reliable as they can provide real time output. The measured values from the sensors can be observed by the core controller. The controller was programmed to monitor the distribution tank on a daily basis to hour basis monitoring. The TIVA C series is used as a core controller. The Controller is mounted on the side of the distribution tank. Finally, the sensor data from the controller is sent to Wi-Fi module through UART protocol. Wi-fi Module is connected to a public Wi-Fi system through which data is seen by the locals who are all connected to that Wi-Fi network.


Some real-time systems that need to be associated with operating system services with a hard real-time system. Since these real-time systems that need to be extremely responsive to the outside world have no simple and low-cost operating system assistance. This paper deals with the application on a Linux-based operating system of the priority-based preemptive real-time scheduling algorithm that will suffice these firm applications in real-time. Typically, the algorithms regarded for these hard real-time systems are preemptive scheduling based on priorities. Based on the priority, by meeting the deadline, this algorithm can produce a feasible schedule for the dynamic tasks to be performed on the processor. It is feasible to schedule tasks on a processor as long as preemption is permitted and tasks do not compete for resources. In this scheduling algorithm, the task in the running queue that is waiting for the execution will be placed in the priority queue that is ready to execute in the available processor. This algorithm is deployed in the Linux kernel with the patch file and the kernel is built in the multi core system to execute an application


2013 ◽  
Vol 392 ◽  
pp. 535-538
Author(s):  
Wen Gong ◽  
Zhong Jian Yu

In order to supply a reliable and low-cost method for construction machinery real-time test, take a hydraulic excavator for example. Especially for testing controllers and evaluating the performance of strategies, a hardware-in-the loop platform has been developed based on the xPC real-time system. The hardware-in-the-loop system, including dynamic model of the excavator and an 3D real-time display subsystem, is presented in this paper. The simulation results are also described at the end of the paper.


Author(s):  
R. Ramkumar ◽  
Sanjoy Deb

In this paper, a real-time low-cost geophone-based Elephant Footstep Vibration Detection and Identification (EFVDI) system is proposed. The system design started with a real-time low-cost generalized Footstep Vibration Recording and Analyzing (FVRA) system. A series of field experiments to record elephant footstep vibration (target) signals and other possible interfering ground vibration (noise) sources are conducted using the FVRA system. System’s actual field performance was evaluated in terms of maximum detection range, signal amplitude, detection ratio, signal frequency, signal time span, etc. Variations of system’s performance with several input parameters are also investigated. The recorded signals from target as well as noise sources are analyzed to extract different Signal Parameters (SPs). All SPs are saved in a Ground Vibration Signal Pattern Library (GVSPL) which is then used to frame accurate indigenous Elephant Identification Algorithm (EIA). The EIA is embedded in FVRA system to reshape it as specific Elephant Footstep Vibration Detection and Identification (EFVDI) system. The EFVDI system has successfully segregated elephant footsteps from other noise vibrations with high accuracy under simulated field experiment. The results from the proposed system will provide important data to the ongoing research of developing the much needed highly accurate Elephant Early Warning System (EEWS) in future.


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