Estimating outdoor temperature from CPU temperature for IoT applications in agriculture

Krintz, Chandra; Wolski, Rich; Golubovic, Nevena; Bakir, Fatih

doi:10.1145/3277593.3277607

Cited by 16 publications

(10 citation statements)

References 16 publications

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“…Figure 22 shows the types of Arduino nodes utilized in IoT irrigation systems. In addition to the Arduino UNO and the Arduino Mega, the Arduino Yun [60], the Arduino Due [96] and the Arduino NANO [151] were utilized in other IoT irrigation proposals. However, 15 papers did not specify the model of the Arduino board utilized [5,29,32,51,81,82,90,120,124,131,138,162,164,167,177].…”

Section: Iot Nodes For Irrigation Systemsmentioning

confidence: 99%

“…The most utilized Raspberry node was the Raspberry Pi 2 Model B and the Raspberry Pi 3 Model B+, with four papers and three papers, respectively (see Figure 23). They are followed by the Raspberry Pi 3 Model B [132,151], the Raspberry Pi 1 Model B [76,117] and the Raspberry Zero [152]. There were however eight papers that utilized an unspecified Raspberry Pi 3 [28,46,55,99,110,148,159,163] and 13 papers [39,50,59,65,96,115,120,124,[134][135][136]172,178] that indicated that a Raspberry Pi node was utilized but the model of the node was not specified.…”

Section: Iot Nodes For Irrigation Systemsmentioning

confidence: 99%

“…Table 4 lists the cloud platforms that have been used in the reviewed articles. [14,32,41,50,64,72,77,78,88,99,110,113,114,119,121,132,142,[151][152][153]156,169,175,197] Thingspeak [44,56,98,115,118,130,143,146,158,160,166,170,173,191] The rest of the articles where the authors identify the storage system utilize databases. As it can be seen in Figure 28, in 12 articles the information is stored in a database, but the name of the employed database is not specified.…”

Section: Cloud Platformsmentioning

confidence: 99%

“…Other authors have identified the utilized databases. The most utilized one is MySQL [35,46,54,58,67,76,96,110,124,126,144,158] 12 papers, followed by SQL [69,119] [14,32,41,50,64,72,77,78,88,99,110,113,114,119,121,132,142,[151][152][153]156,169,175,197] Thingspeak [44,56,98,115,118,130,143,146,158,160,166,170,…”

Section: Cloud Referencesmentioning

confidence: 99%

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IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture

García

Parra

Jiménez

et al. 2020

Sensors

450

168

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Water management is paramount in countries with water scarcity. This also affects agriculture, as a large amount of water is dedicated to that use. The possible consequences of global warming lead to the consideration of creating water adaptation measures to ensure the availability of water for food production and consumption. Thus, studies aimed at saving water usage in the irrigation process have increased over the years. Typical commercial sensors for agriculture irrigation systems are very expensive, making it impossible for smaller farmers to implement this type of system. However, manufacturers are currently offering low-cost sensors that can be connected to nodes to implement affordable systems for irrigation management and agriculture monitoring. Due to the recent advances in IoT and WSN technologies that can be applied in the development of these systems, we present a survey aimed at summarizing the current state of the art regarding smart irrigation systems. We determine the parameters that are monitored in irrigation systems regarding water quantity and quality, soil characteristics and weather conditions. We provide an overview of the most utilized nodes and wireless technologies. Lastly, we will discuss the challenges and the best practices for the implementation of sensor-based irrigation systems.

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Section: Iot Nodes For Irrigation Systemsmentioning

confidence: 99%

Section: Iot Nodes For Irrigation Systemsmentioning

confidence: 99%

Section: Cloud Platformsmentioning

confidence: 99%

Section: Cloud Referencesmentioning

confidence: 99%

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IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture

García

Parra

Jiménez

et al. 2020

Sensors

450

168

View full text Add to dashboard Cite

show abstract

“…These sensors are low-cost which may be relevant to their extended use. [78, 109, 111, 112, 114, 121, 137, 143, 144, 153, 154, 166, 168-170, 172, 181, 182, 186, 190, 194, 195, 199, 205, 210, 211, 213] DHT22 −40 °C 125 °C ±0.5 °C [126,138,145,146,165,171,177,195,197,202,206,207,209] LM35 −55 °C 150 °C - [10,98,99,103,115,130,132,134,141,149,154,180,183,216] According to sensor type, thermistors such as the DHT11, the DHT22, and the AM2315 are the most utilized type of temperature sensors [106] (see Figure 2.16). The DHT11 and DHT22 are low-cost sensors.…”

Section: Parameter Referencesmentioning

confidence: 99%

Architecture and communication protocol to monitor and control water quality and irrigation in agricultural environments

García¹

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The introduction of technological solutions in agriculture allows reducing the use of resources and increasing the production of the crops. Furthermore, the quality of the water for irrigation can be monitored to ensure the safety of the produce for human consumption. However, the remote location of most fields presents a problem for providing wireless coverage to the sensing nodes and actuators deployed on the fields and the irrigation water canals. The work presented in this thesis addresses the problem of enabling wireless communication among the electronic devices deployed for water quality and field monitoring through a heterogeneous communication protocol and architecture. The first part of the dissertation introduces Precision Agriculture (PA) systems and the importance of water quality and field monitoring. In addition, the technologies that enable wireless communication in PA systems and the use of alternative solutions such as Internet of Underground Things (IoUT) and Unmanned Aerial Vehicles (UAV) are introduced as well. Then, an in-depth analysis on the state of the art regarding the sensors for water, field and meteorology monitoring and the most utilized wireless technologies in PA is performed. Furthermore, the current trends and challenges for Internet of Things (IoT) irrigation systems, including the alternate solutions previously introduced, have been discussed in detail. Then, the architecture for the proposed system is presented, which includes the areas of interest for the monitoring activities comprised of the canal and field areas. Moreover, the description and operation algorithms of the sensor nodes contemplated for each area is provided. The next chapter details the proposed heterogeneous communication protocol including the messages and alerts of the system. Additionally, a new tree topology for hybrid LoRa/WiFi multi-hop networks is presented. The specific additional functionalities intended for the proposed architecture are described in the following chapter. It includes data aggregation algorithms for the proposed topology, an overview on the security threats of PA systems, energy-saving and fault-tolerance algorithms, underground El proceso de realizar esta tesis ha comprendido estos últimos años, en los que he crecido tanto personal como profesionalmente. Primeramente, la realización de este trabajo habría sido imposible sin el apoyo de mi familia, quienes me han ayudado a avanzar en los momentos más difíciles. Todo lo que he conseguido ha sido gracias a ellos y a su certeza de que era capaz de lograr todos los retos que se me presentasen. También les quiero agradecer a mis amigos su compañía y apoyo a lo largo de este periodo. No puedo más que agradecer inconmensurablemente la ayuda de mi director de tesis PH. D. Jaime Lloret Mauri, quien me ha guiado en mi trayecto por el mundo académico y me ha aconsejado en los momentos más difíciles. A su vez, le doy todo mi agradecimiento a mi director de tesis Pascal Lorenz por todo su apoyo.Asimismo, no puedo olvidarme de mis compañeros, co...

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Received WiFi Signal Strength Monitoring for Contactless Body Temperature Classification

Nahapetian

2022

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Estimating outdoor temperature from CPU temperature for IoT applications in agriculture

Cited by 16 publications

References 16 publications

IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture

IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture

Architecture and communication protocol to monitor and control water quality and irrigation in agricultural environments

Received WiFi Signal Strength Monitoring for Contactless Body Temperature Classification

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