Smart Irrigation: IOT-Based Irrigation Monitoring System

Dasgupta, Ajanta; Daruka, Ayush; Pandey, Abhiti; Bose, Ankita; Mukherjee, Subham; Saha, Sumalya

doi:10.1007/978-981-13-1544-2_32

Cited by 30 publications

(36 citation statements)

References 6 publications

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“…The most common use of irrigation systems is in outdoor agriculture, 50% of the proposed systems are for outdoor agriculture. Among this outdoor agriculture cases [14,29,31,32,38,40,42,[46][47][48]52,[59][60][61][62][63][64][65][66][67], some papers specify the agriculture products in more detail: general cereal [14], rice [48,59], spinach, beans, carrots, walnuts, corn, barley and maize [47], and multi-height fields [60]. In addition, among the 14 papers about greenhouses [28,33,39,41,45,51,[68][69][70][71][72][73][74][75], five of them specify the type of crop.…”

Section: Water Managementmentioning

confidence: 99%

“…There are some rare cases (10% of them) where more than four parameters are monitored. The papers where more parameters are measured are [64,67], with six measured parameters and [31,45,46,61,68,75,76] that measured five parameters. On the other hand, there are five papers (6% of cases) that do not measure any parameter [33,41,[77][78][79].…”

Section: Outdoormentioning

confidence: 99%

“…However, not all of them specify if the pH sensors are for the soil or for the water [31,42,49,54,68,70,74,75,81,82], only four of them indicate this (three for soil [66,67,72] and one for water [69]). Only four papers consider plant monitoring, in two papers the measured parameter is the plant height [64,83], using an ultrasound sensor. In the other two cases, the leaf wetness was considered in their system [46,84,85].…”

Section: Outdoormentioning

confidence: 99%

“…In this case, we will consider for the commentaries not only the data of the graphic (proposals with irrigation system) but also the information of the paper which measures the water quality, having or not the actuators for the irrigation system. The water level in the tanks is measured in 17 [32,36,51,57,58,61,62,64,69,[85][86][87][88][89][90][91][92] out of 88 papers that have a pumping system. There are different methods to monitor the water level in the tanks and the most used is the one based on ultrasound [32,69,89], the resistive methodology is used in one case [36], the rest of cases do not offer information of how the data is measured.…”

Section: Outdoormentioning

confidence: 99%

“…In addition, there are six papers that do not include an actuator for the irrigation system even when they have water level sensors [60,[93][94][95][96][97]. There are nine papers where sensors for monitoring water flow are utilized [14,31,42,45,50,64,75,76,82]. The sensors used are only described in two cases, the commercial Gems FT110 G3/8 sensor (Gems Sensors and Controls, Mumbai, India) is used in [75] and the YF-S402 (Wuhan yingying yingying xinxi jishu youxian gongsi , Wuhan, China) in the proposal presented in [76].…”

Section: Outdoormentioning

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

428

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: Water Managementmentioning

confidence: 99%

Section: Outdoormentioning

confidence: 99%

Section: Outdoormentioning

confidence: 99%

Section: Outdoormentioning

confidence: 99%

Section: Outdoormentioning

confidence: 99%

See 3 more Smart Citations

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

428

168

View full text Add to dashboard Cite

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IoT and ML‐based automatic irrigation system for smart agriculture system

Anoop

Bala

2023

Agronomy Journal

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The development of the Internet of Things (IoT) and machine learning (ML) technologies has triggered smart agricultural systems. In smart agriculture, irrigation management plays a major role to reduce water waste. The monitoring settings, hardware modules, communication technology, and storage systems used in smart irrigation systems were analyzed to determine the optimal nature of water flow. This assessment aims to give an overview of the current state of the irrigation system by taking into account weather and soil moisture. This paper provides a comprehensive review of the utilization of various hardware modules in smart irrigation systems. Moreover, various communication technologies that aid in data transfer for efficient smart irrigation are reviewed. The ML method used for prediction is also evaluated, as well as based storage technologies like the cloud and databases used to store data for predictive irrigation systems. As a result, the paper provides an overview of all the factors that contribute to irrigation systems’ smart operation as well as potential future paths for improving agricultural systems through IoT.

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Irrigation control system‐data gathering in WSN using IOT

Kumar

Jayaraman

2020

Int J Communication

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Agriculture plays an important role in the growth of agriculture nation like India. The main source of water is essential for agriculture. The irrigation process supplies water, but sometimes the wastage of water may occur. For this reason, the irrigation control scheme in wireless sensor network (WSN) using Internet of things (IoT) is developed to save water and time. This paper presents an ANFIS-PEGASIS: Irrigation control system-data gathering in WSN using IoT. The process of the fuzzy inference system (FIS) is utilized for an optimum cluster head (CH) selection that depends on the distance and residual energy. After that, the power-efficient gathering in sensor information system (PEGASIS) is used for the data collecting process in irrigation structure. PEGASIS is to make a chain between the sensor nodes (SNs), and every node communicates to the CH, and it's transferring the data to the base station (BS). Finally, the decision-making process can be implemented by adaptive neuro-FIS (ANFIS) for the automated irrigation process. ANFIS is a useful tool for the decision-making process. Here, based on the information delivered by the sensors, the decisions are generated using ANFIS for the irrigation system. In the system, the various sensors like humidity, temperature, light intensity, and soil moisture are utilized to sense the different parameters of soil. Based on the value of soil moisture, the land becomes automatically irrigated by ON/OFF, the lamp, and the water pump. The simulation outcomes show that the developed (ANFIS-PEGASIS) technique outperforms other recent approaches.

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Smart Irrigation: IOT-Based Irrigation Monitoring System

Cited by 30 publications

References 6 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

IoT and ML‐based automatic irrigation system for smart agriculture system

Irrigation control system‐data gathering in WSN using IOT

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