Fire Safety System Implementation for Controlling and Monitoring a Siren in Smart Farm Using Gas Sensor and Flame Sensor

Morchid, Abdennabi; Alami, Rachid El; Qjidaa, Hassan; Alaoui, Mustapha El; Touati, Hassan; Khadiri, Karim El; Ouazzani-Jamil, Mohammed

doi:10.1007/978-3-031-01942-5_73

Cited by 8 publications

(3 citation statements)

References 22 publications

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“…Explore studies or projects that focus on environmental monitoring in agriculture. Such works may provide insights into the integration of sensors for real-time data collection [25]. Explore research and projects that apply hybrid site selection methods in the renewable energy context with IoT [26].…”

Section: Related Workmentioning

confidence: 99%

IoT Sensor Data Retrieval and Analysis in Cloud Environments for Enhanced Power Management

Arulkumar V.,

Kavin F.,

Arulkumar D.

et al. 2024

ARASET

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The Internet of Things (IoT) brings new products to everyone to improve daily life. Concurrently other emerging technologies, including Big Data, Cloud Services, and surveillance, can participate through these technological advances. This research work explores the synergies among four systems to identify their shared functionalities and integrate them to create useful potential applications. Despite the limitations of the smart city concept, researchers would seek innovative methods to collect and process sensor information within an IoT-enabled smart building. A cornerstone of the proposed system is the utilization of cloud services as the foundational technology for a schema management platform. This platform efficiently gathers data generated by sensors within smart industrial units. Leveraging the capabilities of IoT technology, the data can be remotely managed and accessed using mobile devices with network connectivity. The proposed work addresses the challenges related with the smart city perception and supports for revolutionary approaches in the collection and manipulation of IoT Sensor data. By doing so, it imagines the creation of green, smart schemes that contribute to sustainable urban development.

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Section: Related Workmentioning

confidence: 99%

IoT Sensor Data Retrieval and Analysis in Cloud Environments for Enhanced Power Management

Arulkumar V.,

Kavin F.,

Arulkumar D.

et al. 2024

ARASET

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“…Taking into account all of the ZigBee capabilities and the necessity for automated watering, the design concept is shown in Figure 2. It was based on the GPRS (General Packet Radio Service) network [29]. The majority of nodes in this design are controllers at the network's endpoints.…”

Section: Proposed Iot-based Agricultural Water Management Systemmentioning

confidence: 99%

Revolutionizing Saudi Arabia's Agriculture: The IoT Transformation of Water Management

Mohammed Baljon

2023

ARASET

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Saudi Arabia's agriculture heavily depends on effective water management, given its limited freshwater resources and arid climate. Real-time monitoring of soil moisture levels, weather conditions, and crop watering needs, facilitated by IoT integration, plays a crucial role in conserving water and minimizing waste. The resultant improvements in crop yields and quality are essential for the long-term success of agriculture in the country. This study employs the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) method to investigate the transformative potential of the Internet of Things (IoT) in enhancing water management practices in Saudi Arabia's agriculture sector. The research begins by highlighting the significance of water management in agriculture, emphasizing the proportion of land in Saudi Arabia allocated to agricultural purposes. The problem statement underscores the pressing challenges in water management, encompassing issues such as water scarcity, inefficient irrigation methods, and the need for real-time data to inform decision-making. To address these challenges, the study proposes an IoT-based Agricultural Water Management System (IoT-AWMS) that leverages sensors, real-time data analytics, and machine learning algorithms. This system is designed to optimize water utilization in agriculture. Simulations conducted within the study demonstrate a significant enhancement in water usage efficiency, resulting in reduced water wastage and increased crop yields. In conclusion, this research underscores the critical importance of the proposed IoT-based water management system for Saudi Arabia. It is positioned as a valuable tool for mitigating water scarcity challenges and promoting environmentally sustainable agricultural practices in the country.

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“…Thing Speak collects and stores agricultural sensors and controller data for the farm owner [24,25]. The use of wireless sensor networks in designing an autonomous plant Smart Irrigation System results in irrigation settings that can be automatically controlled [26][27][28][29][30]. To detect the desired parameter, a water level sensor was employed in this study, and a real-time water level monitoring system was constructed and installed, was used the HC-SR04 sensor to detect the water level [31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

High-technology agriculture using the internet of things and cloud computing for an efficient Smart Irrigation System

Morchid

Qjidaa

Jamil³

et al. 2022

Preprint

Self Cite

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Agricultural activity is the most important economy in Morocco, and in the world, because it is the only source of food security. This activity faces a real threat due to the climatic changes and the inappropriate use of irrigation, which threatens the life of many people in Morocco and North Africa. In order to meet the increasing demand for water for agriculture, we must consider alternative techniques to rationalize this rare and vital substance. This paper proposes a "Smart Irrigation System" based on the internet of things (IoT) and cloud computing to supervise in real-time and wirelessly the environmental parameters such as temperature, humidity, moisture, and water level in a smart agricultural. This system uses as techniques special sensors (DHT22, water level sensor, moisture sensor) wired to a popular control board ESP32. As communication between the device and the user, the apparatus uses a ThingSpeak platform on the network. The ESP32 controller is also connected to a water sprinkler irrigating the soil and a water pump for recharging the tank when it runs dry. Based on the values of different environmental parameters, the water pump is automatically controlled. The data collected by the sensors is communicated in real-time to the ThingSpeak platform and the ThingView app. This will allow the farmer to see all of the farm's data from afar and from any location, allowing him to irrigate the crops more accurately and increase production. On the other side, we will present a mathematical function to calibrate the water level sensor by a percentage, a function called linear interpolation. In this system, the soil is irrigated as needed and accurately, and this will reduce water consumption by a very important percentage of more than 70 percent, unlike traditional irrigation, which drains the water bed and drowns agricultural crops.

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Fire Safety System Implementation for Controlling and Monitoring a Siren in Smart Farm Using Gas Sensor and Flame Sensor

Cited by 8 publications

References 22 publications

IoT Sensor Data Retrieval and Analysis in Cloud Environments for Enhanced Power Management

IoT Sensor Data Retrieval and Analysis in Cloud Environments for Enhanced Power Management

Revolutionizing Saudi Arabia's Agriculture: The IoT Transformation of Water Management

High-technology agriculture using the internet of things and cloud computing for an efficient Smart Irrigation System

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