Original Article
Gyan Misra
Abstract
Smart agriculture, also known as precision agriculture, allows farmers to maximize yields using minimal resources such as water, fertilizer, and seeds. By deploying sensors and mapping fields, farmers can begin to understand their crops at a micro scale, conserve resources, and reduce impacts on the ...
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Smart agriculture, also known as precision agriculture, allows farmers to maximize yields using minimal resources such as water, fertilizer, and seeds. By deploying sensors and mapping fields, farmers can begin to understand their crops at a micro scale, conserve resources, and reduce impacts on the environment. Smart agriculture has roots going back to the 1980s when Global Positioning System (GPS) capability became accessible for civilian use. Once farmers were able to accurately map their crop fields, they could monitor and apply fertilizer and weed treatments only to areas that required it. During the 1990s, early precision agriculture users adopted crop yield monitoring to generate fertilizer and pH correction recommendations. As more variables could be measured and entered into a crop model, more accurate recommendations for fertilizer application, watering, and even peak yield harvesting. Throughout the long term, shrewd cultivating has become valuable to all ranchers - little and huge scope.
Original Article
Mohsen Imeni
Abstract
This study investigates how wireless sensor network (WSN) applications in agriculture arediscussed in the current academic literature.The Wireless Sensors Network (WSN) is nowadays widely used to build decision support systems to overcome many problems in the real-world.Using the basic principles of ...
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This study investigates how wireless sensor network (WSN) applications in agriculture arediscussed in the current academic literature.The Wireless Sensors Network (WSN) is nowadays widely used to build decision support systems to overcome many problems in the real-world.Using the basic principles of Internet and WSN technology, precision agriculture systems based on the internet of things (IOT) technology is explained in detail especially on the hardware architecture, network architecture and software process control of the precision agriculture system.The software monitors data from the wireless sensors,but the implementation of wirelesssensor network(WSN) will optimise the useage of water fertilizer and also maximized the yield of crops.Now-a-days the climatic conditions are not same and predictable.There are many ways to cultivate a healthy cropsin a year.but it requires a lot of manpower involved which is burden now a days.in order to make it smart,simpleand give correct input to the corp,here we are designing a wireless sensor network for smart agriculture.
Original Article
Gyan Misra
Abstract
Smart water for the quality monitoring is to be gaining in importance with a advancements in communication technology. The Web of Things (IoT) gets the associations among different gadgets with the capacity to trade and getting information. IoT additionally stretches out its ability to ecological issues ...
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Smart water for the quality monitoring is to be gaining in importance with a advancements in communication technology. The Web of Things (IoT) gets the associations among different gadgets with the capacity to trade and getting information. IoT additionally stretches out its ability to ecological issues notwithstanding the computerization industry by utilizing industry 4.0. As water is one of the fundamental necessities of human endurance, it is expected to consolidate some instruments to screen water quality from the opportunity to time. Around 45% of passing’s are caused because of defiled water on the planet. Subsequently, there is a need to guarantee the supply of filtered drinking water for individuals both in urban areas and towns. Water Quality Monitoring is a practical and proficient framework intended to screen drinking water quality that utilizes Internet of Things (IoT) innovation. In this paper, the proposed framework comprises a few sensors to gauge different boundaries, for example, pH esteem, and turbidity in the water, level of water in the tank, temperature, and mugginess of the encompassing air. And for more, information the Microcontroller Unit (MCU) is connected to these sensors and handled with a Personal Computer (PC). The got information is shipped off the cloud by utilizing IoT based Think Speak application to screen the nature of the water.
Original Article
Gyan Misra
Abstract
In this paper named IOT based river water quality monitoring gives the outcome of quality river of water by the advantage of various advanced techniques Internet of Things, Wireless Sensor Network. As part of this we have made the things to collect the data and transfer the data to the software that ...
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In this paper named IOT based river water quality monitoring gives the outcome of quality river of water by the advantage of various advanced techniques Internet of Things, Wireless Sensor Network. As part of this we have made the things to collect the data and transfer the data to the software that we have made. Then the data that we collect using various equipment and be analyzed using the software that we have designed. Other than that, the hardware of the system, data visualization, software, we automate the process of monitoring This water quality monitoring system has been the major issue and can be use the digital, intelligent, and effectively gives the quality of river water.
Original Article
faezeh nejati; Milad Jiyan
Abstract
Improving buildings' behaviour by reducing lateral loads' effect is a new topic in earthquake engineering. It is based on reducing the energy applied to the structure through its depreciation. Structures can consume much energy in an earthquake due to their ductility. The use of energy-consuming ...
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Improving buildings' behaviour by reducing lateral loads' effect is a new topic in earthquake engineering. It is based on reducing the energy applied to the structure through its depreciation. Structures can consume much energy in an earthquake due to their ductility. The use of energy-consuming systems in buildings allows structural members to remain resilient. Therefore, this research investigates a combined neural network-based method for optimizing ADAS (Added Damper and Stiffness) dampers in steel buildings. Thus, the seismic behaviour of each is addressed by modelling a 15-story steel structure with steel bracing in at least four reinforcement modes with ADAS damper. The selection criterion of these structures is the study of high-rise structures, and the study of finding the optimal state of reinforcement with dampers is discussed. IDA (Incremental dynamic analysis) using at least ten accelerograms is used in this regard. In this regard, Etabs software is used for the initial design of structures, nonlinear analysis, and optimization of OpenSees and Matlab software. It was observed that in different types of dampers arrangement, different behaviour is observed in structures. Also, the type of mirrors if due to the different hardness and performance of each damper, also led to a change in the behaviour of the structures modelled in this study. Of course, what was observed so that it is not possible to say with certainty which mode leads to better performance in structures because the performance of all four types of attenuators is very close to each other. Still, it can be said that all dampers can be considered suitable improvement options according to the employer's conditions in terms of executive capability. Dampers increase the relative displacement of the floors by improving the structure's stiffness, thereby reducing structural and non-structural damage. TADAS and ADAS dampers have good seismic behaviour, can withstand a large number of cycles, and can absorb a large amount of earthquake energy without loss of stiffness and resistance. The use of dampers in determining the overall and local response of the sample structures under the earthquake record will positively affect the reinforcement of the structures
