Original Article
Hamiden Abd El- Wahed Khalifa
Abstract
The current study investigates a two-machine Flow Shop Scheduling (FSS) problem with piecewise quadratic fuzzy processing time. It is illogical to consider that the processing time is exact but uncertain because it varies due to human factors. One of the most popular approximate intervals, namely, close ...
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The current study investigates a two-machine Flow Shop Scheduling (FSS) problem with piecewise quadratic fuzzy processing time. It is illogical to consider that the processing time is exact but uncertain because it varies due to human factors. One of the most popular approximate intervals, namely, close interval approximation for the Piecewise Quadratic Fuzzy Number (PQFN), is introduced. A solution method with the help of Johnson's algorithm [1], the close interval approximation of PQFNs, and the modified McCahon and Lee's algorithm [2] is developed to determine the minimization of the expected makespan. Numerical experimentation is performed to demonstrate the effectiveness of the suggested methodology.
Original Article
Seyyed Esmaeil Najafi; Dragan Marinkovic; Nenad Komazec
Abstract
This study investigates how the current academic literature discusses Wireless Sensor Network (WSN) applications in agriculture. The WSN is 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 ...
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This study investigates how the current academic literature discusses Wireless Sensor Network (WSN) applications in agriculture. The WSN is 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 are 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 implementing a WSN will optimize the usage of water fertilizers and maximize crop yield. Nowadays, the climatic conditions are not the same and predictable. There are many ways to cultivate healthy crops in a year. But it requires a lot of human resources, which is a burden nowadays. We are designing a WSN for smart agriculture to make it smart and straightforward and give correct input to the corp.
Original Article
Seyyed Ali Nourkhah; Goran Cirovic; Seyyed Ahmad Edalatpanah
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 in the 1980s when Global Positioning System (GPS) capability became accessible for civilian use. Once farmers could map their crop fields accurately, they could only monitor and apply fertilizer and weed treatments 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 could be made. Throughout the long term, shrewd cultivating has become valuable to all ranchers-little and huge scope.
Original Article
Soheil Fakheri; Nenad Komazec; Hashem Saberi Najafi
Abstract
This paper, named IoT-based river water quality monitoring, gives the outcome of quality river water with the advantage of various advanced techniques, the Internet of Things, and Wireless Sensor Networks (WSNs). As part of this, we have made the things to collect the data and transfer the data to the ...
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This paper, named IoT-based river water quality monitoring, gives the outcome of quality river water with the advantage of various advanced techniques, the Internet of Things, and Wireless Sensor Networks (WSNs). 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 we collect using various equipment will be analyzed using the software we have designed. Besides that, we automate the monitoring process with the system's hardware, data visualization, and software. This water quality monitoring system has been a significant issue and can be used digitally, intelligently, and effectively to improve river water quality.
