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(searched for: doi:10.1016/j.aasri.2014.08.013)
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Published: 22 August 2021
by MDPI
Applied Sciences, Volume 11; https://doi.org/10.3390/app11167716

Abstract:
Artificial intelligence applications in fire safety of agricultural structures have practical economic and technological benefits on commercial agriculture. The FAO estimates that wildfires result in at least USD 1 billion in agriculture-related losses due to the destruction of livestock pasture, destruction of agricultural buildings, premature death of farm animals, and general disruption of agricultural activities. Even though artificial neural networks (ANNs), genetic algorithms (GAs), probabilistic neural networks (PNNs), and adaptive neurofuzzy inference systems (ANFISs), among others, have proven useful in fire prevention, their application is limited in real farm environments. Most farms rely on traditional/non-technology-based methods of fire prevention. The case for AI in agricultural fire prevention is grounded on the accuracy and reliability of computer simulations in smoke movement analysis, risk assessment, and postfire analysis. In addition, such technologies can be coupled with next-generation fire-retardant materials such as intumescent coatings with a polymer binder, blowing agent, carbon donor, and acid donor. Future prospects for AI in agriculture transcend basic fire safety to encompass Society 5.0, energy systems in smart cities, UAV monitoring, Agriculture 4.0, and decentralized energy. However, critical challenges must be overcome, including the health and safety aspects, cost, and reliability. In brief, AI offers unlimited potential in the prevention of fire hazards in farms, but the existing body of knowledge is inadequate.
Xiaoyan Shen, Wei Shao, Zheng Zhang,
Microprocessors and Microsystems, Volume 77; https://doi.org/10.1016/j.micpro.2020.103160

The publisher has not yet granted permission to display this abstract.
Guona Lv, Baoren Wang, Yan Guo, Tide Zhang, Junpeng Pan
IOP Conference Series: Materials Science and Engineering, Volume 452; https://doi.org/10.1088/1757-899x/452/4/042151

Abstract:
In order to overcome the difficulty of control and the inaccuracy of the traditional greenhouse, this paper combines the Zigbee technology with various wireless network sensors and control system to design the software and hardware of the system, which avoids the problem of wiring difficulties when detecting traditional greenhouses, and the advantages of the control system is easy operation, accurate detection and easy control management. So it has greater reference value for increasing crop yield and agricultural development.
Nel Panaligan, Liza Cudera, Jullinie Love Oda, Roy Amante
Published: 6 March 2018
SSRN Electronic Journal; https://doi.org/10.2139/ssrn.3780518

The publisher has not yet granted permission to display this abstract.
Shaodan Zhi, Yongbin Wei, Zhen Cao, Chao Hou
2017 4th International Conference on Systems and Informatics (ICSAI) pp 627-631; https://doi.org/10.1109/icsai.2017.8248365

Abstract:
Air pollution issues and particularly fine particulate matters are worthy of great concerns as a consequence of crowded factories and heavy traffic. Exposure to the fine particulate matters (PMs) will harm the human health and even cause irreversible damages, which calls for effective monitoring methods. It is necessary to bring in a monitoring platform with sufficient mobility for the places where monitoring stations are not convenient to install. A mobile and portable monitoring platform based on unmanned aerial vehicle (UAV) is developed by combining promoted sensor board and specific communication module in this paper. Moreover, the air quality monitored by UAV-platform will generate important information for the controlling of indoor air quality for indoor environment in the buildings. To meet the indoor inhabitants' requirements of health and comfort, a fuzzy control method is proposed in this paper to control the actuators of air cleaner and ventilator. With a good coordination, an intelligent environment which meets the comfort level with good indoor air quality (IAQ) can be achieved.
Peijun Hong, Hao Liu, Zhiguang Yan, Zhiqin Qian, Kai Wu,
2017 IEEE 17th International Conference on Communication Technology (ICCT) pp 951-955; https://doi.org/10.1109/icct.2017.8359775

Abstract:
This Nowadays, people are paying more and more attention to the quality of home environment with the rapid popularity of smart home system and Internet of things technology. In this paper, a new method based on the technology of WSN is adopted to monitor some indicators of the environment indoors, so that the damaging caused by these imperceptible and even dangerous indications, such as PM 2.5, temperature, humidity and the concentration of carbon monoxide, can be reduced or eliminated. The proposed system of WSN and a PM 2.5 detector is used in acquiring real-time data for surveillance and control of smart homes. The final results show that this cost-effective home monitoring system based on Wireless Sensor Network can reflect the indoor air quality to a great extent, thus it is of great progress in making people changing their living mode and sustaining a better life.
Dwi Ann Ratna Wati, Dika Abadianto
IOP Conference Series: Materials Science and Engineering, Volume 215; https://doi.org/10.1088/1757-899x/215/1/012034

Abstract:
This paper presents the design of smart home systems prototype. It applies. MyRIO 1900 embedded device as the main controller of the smart home systems. The systems include wireless monitoring systems and email based notifications as well as data logging. The prototype systems use simulated sensor such as temperature sensor, push button as proximity sensor, and keypad while its simulated actuators are buzzer as alarm system, LED as light and LCD. Based on the test and analysis, the smart home systems prototype as well as the wireless monitoring systems have real time responses when input signals are available. Tbe performance of MyRIO controller is excellent and it results in a stable system.
Shaodan Zhi, Yongbin Wei, Jun Wang, Wei Zhao
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) pp 678-684; https://doi.org/10.1109/fuzz-ieee.2016.7737752

Abstract:
In the air-polluted area or period, the outdoor activities are unhealthy and even become the triggers for different kinds of diseases because of the inhalable particles. Most of the outdoor activities are transferred into indoor lifestyle, such as entertainments, sports and working. And it is highly unlikely to get fresh air by ventilating directly with outside air, while CO2 content will persistently increase in the enclosed space so as to oppress people of oxygen-poor feeling. On the other hand, the rapid technology development and the urgent requirement growth of wireless sensors simultaneously offer a possible solution for such contradiction. For the sake of the health and comfort of the indoor inhabitants, a fuzzy control method is proposed in this paper for controlling the actuators of air cleaner and ventilator. With a good coordination between the air-cleaners and the ventilator, an intelligent environment which meets the comfort level with good air quality can be achieved. Exercise experiments which last for six days are carried out with comparisons among three controlling algorithms in the changing outdoor environments. Results show a satisfaction from overlapping working mode based on fuzzy control algorithm. Such algorithm has a broad application prospect on the existing buildings for airpolluted area.
Published: 6 September 2015
Journal of Sensors, Volume 2015, pp 1-8; https://doi.org/10.1155/2015/685786

Abstract:
This paper presents a low-cost and energy-saving urban mobility monitoring system based on wireless sensor networks (WSNs). The primary components of the proposed sensor unit are a Bluetooth sensor and a Zigbee transceiver. Within the WSN, the Bluetooth sensor captures the MAC addresses of Bluetooth units equipped in mobile devices and car navigation systems. The Zigbee transceiver transmits the collected MAC addresses to a data center without any major communications infrastructures (e.g., fiber optics and 3G/4G network). A total of seven prototype sensor units have been deployed on roadway segments in Newark, New Jersey, for a proof of concept (POC) test. The results of the POC test show that the performance of the proposed sensor unit appears promising, resulting in 2% of data drop rates and an improved Bluetooth capturing rate.
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