Precision Agriculture System Design Using Wireless Sensor Network
01 Jan 2018-pp 169-177
TL;DR: This paper presents design of precision agriculture system infrastructure aiming at a multi-parameter monitoring system using wireless sensor network based on low-power Intel's Galileo Gen-2 platform for monitoring, controlling and decision-making support using Internet of Things.
Abstract: This paper presents design of precision agriculture system infrastructure aiming at a multi-parameter monitoring system using wireless sensor network. Proposed infrastructure is based on low-power Intel’s Galileo Gen-2 platform for monitoring, controlling and decision-making support using Internet of Things (IoT). Collection of different farm field parameters is to be done using sensor nodes deployed in the farmland. Each node is connected wirelessly to the base station for the collection of data using wireless transreciever hardware platform. Data is then fed to the personal computer and displayed on screen, e.g. temperature, humidity, sprinkler water flow and soil moisture. From the collected data, decision-making and controlling action can be taken by the use of Internet of Things.
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TL;DR: A survey aimed at summarizing the current state of the art regarding smart irrigation systems, which determines the parameters that are monitored in irrigation systems regarding water quantity and quality, soil characteristics and weather conditions.
Abstract: 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.
264 citations
TL;DR: The proposed low cost intelligent system for smart irrigation uses IoT to make devices used in the system to talk and connect on their own, with capabilities like: admin mode for user interaction, one-time setup for irrigation schedule estimation, neural based decision making for intelligent support and remote data monitoring.
176 citations
TL;DR: This paper presents an efficient methodology that employs WSN as a data collection tool and a decision support system (DSS) that can assist farmers in their manual irrigation procedures or automate irrigation activities.
Abstract: Scientific organizations and researchers are eager to apply recent technological advancements, such as sensors and actuators, in different application areas, including environmental monitoring, creation of intelligent buildings, and precision agriculture. Technology-assisted irrigation for agriculture is a major research innovation which eases the work of farmers and prevents water wastage. Wireless sensor networks (WSNs) are used as sensor nodes that directly interact with the physical environment and provide real-time data that are useful in identifying regions in need, particularly in agricultural fields. This paper presents an efficient methodology that employs WSN as a data collection tool and a decision support system (DSS). The proposed DSS can assist farmers in their manual irrigation procedures or automate irrigation activities. Water-deficient sites in both scenarios are identified by using soil moisture and environmental data sensors. However, the proposed system’s accuracy is directly proportional to the accuracy of dynamic data generated by the deployed WSN. A simplified outlier-detection algorithm is thus presented and integrated with the proposed DSS to fine-tune the collected data prior to processing. The complexity of the algorithm is O(1) for dynamic datasets generated by sensor nodes and O(n) for static datasets. Different issues in technology-assisted irrigation management and their solutions are also addressed.
50 citations
TL;DR: The Smart&Green framework is proposed to offer services for smart irrigation, such as data monitoring, preprocessing, fusion, synchronization, storage, and irrigation management enriched by the prediction of soil moisture, by applying the predicted matric potential approach to the Van Genutchen model.
Abstract: Irrigation is one of the most water-intensive agricultural activities in the world, which has been increasing over time. Choosing an optimal irrigation management plan depends on having available data in the monitoring field. A smart agriculture system gathers data from several sources; however, the data are not guaranteed to be free of discrepant values (i.e., outliers), which can damage the precision of irrigation management. Furthermore, data from different sources must fit into the same temporal window required for irrigation management and the data preprocessing must be dynamic and automatic to benefit users of the irrigation management plan. In this paper, we propose the Smart&Green framework to offer services for smart irrigation, such as data monitoring, preprocessing, fusion, synchronization, storage, and irrigation management enriched by the prediction of soil moisture. Outlier removal techniques allow for more precise irrigation management. For fields without soil moisture sensors, the prediction model estimates the matric potential using weather, crop, and irrigation information. We apply the predicted matric potential approach to the Van Genutchen model to determine the moisture used in an irrigation management scheme. We can save, on average, between 56.4% and 90% of the irrigation water needed by applying the Zscore, MZscore and Chauvenet outlier removal techniques to the predicted data.
49 citations
Cites methods from "Precision Agriculture System Design..."
...Crisp rules (IF-THEN) were used to compare threshold values with the soil moisture gathered by sensors, in order to decide whether to turn on the sprinklers of an irrigation system, in [30,31]....
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17 Apr 2019
TL;DR: In this survey, the research trend, the concepts, fundamental components of IOT, the challenges, and IOT applications in agriculture are examined and some involved technologies in the IOT are compared.
Abstract: Increasing food consumption, asking for quality food, and environmental impacts of agriculture lead to has used information technology in the agriculture sector, which comes under the heading of precision agriculture. Internet of things (IOT) is a technology that is growing rapidly in recent years and brings numerous benefits with it for agriculture. Because of the heterogeneous and enormous amount of data collected by IoT devices, future of internet of things (IoT) agricultural applications depend on cloud computing. At the same time, microcontrollers will add new abilities to the internet of things (IoT). In this survey, the research trend, the concepts, fundamental components of IOT, the challenges, and IOT applications in agriculture are examined. Firstly, the numbers of published papers in this field reviewed. Secondly, IOT definition and IOT architecture together with its layers are introduced. Thirdly, some involved technologies in the IOT are compared; finally, the main challenges in IOT and precision agriculture (PA) are considered.
25 citations
Additional excerpts
...Source of literature [10-16] [17-19] [20-24] [25-28] 29-33] [34-37]...
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References
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TL;DR: The concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics is described.
17,936 citations
28 Jan 2005
TL;DR: Smart environments represent the next evolutionary development step in building, utilities, industrial, home, shipboard, and transportation systems automation Like any sentient organism, the smart environment relies first and foremost on sensory data from the real world Sensory data comes from multiple sensors of different modalities in distributed locations as mentioned in this paper.
Abstract: Smart environments represent the next evolutionary development step in building, utilities, industrial, home, shipboard, and transportation systems automation Like any sentient organism, the smart environment relies first and foremost on sensory data from the real world Sensory data comes from multiple sensors of different modalities in distributed locations The smart environment needs information about its surroundings as well as about its internal workings; this is captured in biological systems by the distinction between exteroceptors and proprioceptors
466 citations
TL;DR: This paper from the 9th International Conference on Future Networks and Communications, FNC 2014 conference proceedings describes a wireless sensor network system developed using open-source hardware platforms, Arduino and Raspberry Pi.
373 citations
TL;DR: This paper has proposed and analysed the use of Programmable System on Chip Technology (PSoC) as a part of Wireless Sensor Networks (WSN) to monitor and control various parameter of green house.
Abstract: The technological development in Wireless Sensor Networks made it possible to use in monitoring and control of greenhouse parameter in precision agriculture. In last decades there have been tremendous advancements in technology for agriculture and growth of final yield. Due to uneven natural distribution of rain water it is very crucial for farmers to monitor and control the equal distribution of water to all crops in the whole farm or as per the requirement of the crop. There is no ideal irrigation method available which may be suitable for all weather conditions, soil structure and variety of crops cultures. Green house technology may be the best solution for this solution. All the parameters of greenhouse require a detailed analysis in order to choose the correct method. It is observed that farmers have to bear huge financial loss because of wrong prediction of weather and incorrect irrigation method to crops. In this contest with the evolution in wireless sensor technologies and miniaturized sensor devices, it is possible to uses them for automatic environment monitoring and controlling the parameters of greenhouse, for Precision Agriculture (PA) application. In this paper, we have proposed and analyse the use of Programmable System on Chip Technology (PSoC) as a part of Wireless Sensor Networks (WSN) to monitor and control various parameter of green house.
209 citations
TL;DR: This work has specified a farm management system that takes advantage of the new characteristics that ''Future Internet'' offers in terms of generic software modules that can be used to build farming related specialized modules.
203 citations