Managing Irrigation in Indian Agriculture Using Fuzzy  Logic – A Decision Support System

Suruthi, N; Saranya, R.; Subashini, S; Shanthi, P.; Umamakeswari, A.

doi:10.14419/ijet.v7i2.24.12075

Cited by 7 publications

(7 citation statements)

References 8 publications

(8 reference statements)

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“…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]. Some other popular boards are manufactured by other companies but can be programmed utilizing the Arduino IDE.…”

Section: Iot Nodes For Irrigation Systemsmentioning

confidence: 99%

“…The authors conclude that the subsoil moisture sensor is the most important sensor to determine irrigation. The irrigation time was predicted in [162] as well, using the adaptive neuro fuzzy interference system (ANFIS) to predict the irrigation time. This fuzzy logic technique was implemented employing the MATLAB software.…”

Section: Big Data Management and Analytics For Irrigation Optimizationmentioning

confidence: 99%

See 1 more Smart Citation

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

305

144

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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: Big Data Management and Analytics For Irrigation Optimizationmentioning

confidence: 99%

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

305

144

View full text Add to dashboard Cite

show abstract

“…In [16] a fuzzy logic controller is used, also based on the Mamdani model for the automation of a greenhouse irrigation system, taking into account as the input value the difference between the desired soil moisture and the actual soil moisture, and as output value a valve that allows to open and close the water passage; this is done to effectively estimate the amount of water avoiding that too much water is applied to the plants. In [17] an irrigation system based on the information provided by humidity, temperature and soil moisture sensors is proposed; considering the inputs, the output of the system determines the irrigation time for the crop while optimizing water use. In [18] and [19] climatic factors are used to determine the ignition of the irrigation pump of a greenhouse and then send the information obtained by the sensors by SMS and perform operations with a smartphone.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Controller for Automation of an Autonomous Irrigation System Designed for Habanero Pepper (Capsicum Chinense Jacq.)

Molina-Puc

Orozco-del-Castillo

Villafaña-Gamboa

et al. 2019

Communications in Computer and Information Science

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Agriculture is a fundamental economic activity but implies a large consumption of water; in Mexico, the habanero pepper (Capsicum chinense Jacq.) is one of the main agricultural products. This work presents the design of a Sugeno based fuzzy controller with 18 if-then rules for an irrigation system that allows irrigation to be managed in a sustainable manner, reducing the loss of water giving habanero pepper plants a favorable environment for their growth. The controller consists of a set of rules designed to activate or deactivate the irrigation system based on four input variables.

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“…In addition to the Arduino UNO and the Arduino Mega, the Arduino Yun [110], the Arduino Due [146], and the Arduino NANO [202] were utilized in other IoT irrigation proposals. However, 15 papers did not specify the model of the Arduino board utilized [79,82,101,131,132,140,148,171,175,182,189,213,215,218,228]. Some other popular boards are manufactured by other companies but can be programmed utilizing the Arduino IDE.…”

Section: Node Referencementioning

confidence: 99%

“…The authors conclude that the subsoil moisture sensor is the most important sensor to determine irrigation. The irrigation time was predicted in [213] as well, using the adaptive neuro fuzzy interference system (ANFIS) to predict the irrigation time. This fuzzy logic technique was implemented employing the MATLAB software.…”

Section: Big Data Management and Analytics For Irrigation Optimizationmentioning

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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Managing Irrigation in Indian Agriculture Using Fuzzy Logic – A Decision Support System

Cited by 7 publications

References 8 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

Fuzzy Logic Controller for Automation of an Autonomous Irrigation System Designed for Habanero Pepper (Capsicum Chinense Jacq.)

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

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