The Development of Smart Irrigation System With IoT, Cloud, and Big Data

Badrun, Burhanuddin; Manaf, Murshal

doi:10.1088/1755-1315/830/1/012009

Cited by 7 publications

(6 citation statements)

References 13 publications

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“…Oukaira et al 43 have evaluated the different technologies for estimating soil moisture to support a variety of applications and to aid the usage of drip irrigation. Badrun et al 44 have attempted a smart irrigation system with the help of IoT, cloud computing, AI, and big data toward innovative simple semantic solutions for users or farmers to evaluate rainfall, humidity and temperature, soil condition, wind speed, and solar radiation in a synchronized way through a web application to the users. Patel et al 45 have explored the task of automatic drip irrigation using IoT where the ML method is applied for crop prediction which will increase the productivity of the field for the benefit of farmers.…”

Section: Brief State‐of‐art Report On Development Of Smart Drip Irrig...mentioning

confidence: 99%

Experimental performance of soil monitoring system using IoT technique for automatic drip irrigation

Jain,

Mukherjee,

Karmakar

et al. 2023

Int J Communication

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SummaryThis paper proposes an IoT‐enabled soil monitoring system using wireless sensor network for automatic irrigation in agricultural applications, especially for lemongrass plants, where an automated control system is required for irrigation applications. This can solve the problem of the water crisis, which is faced by the farmers during the cultivation of the crop in the field. This controls the water supply in the irrigation process using an IoT communication system. A system architecture for soil monitoring and controlling irrigation using IoT technique is designed where the different sensors and actuators like humidity, soil moisture, temperature, pump, and so forth are connected with a node microcontrol unit and message queuing telemetry transport (MQTT) protocol for enhancing communication capabilities. This wireless sensor network gives feedback to the system. This provides automation by the on/off pump system during drip irrigation. The sensor data are displayed on a PC or mobile phone through wireless communication and an IoT cloud platform. An experimental testing setup is developed and the experimental performance of a soil monitoring system using IoT technique for automatic drip irrigation has been carried out and soil moisture data are also stored in a cloud server for analytics. The performance shows that the MQTT protocol sends data within 48 s to the IoT cloud so that the data can be acquired in a faster manner. This shows that this kind of soil monitoring system is suitable for automatic drip irrigation, which enhances the farming process and overcomes the water crises in the agricultural system by reducing the wastage of water.

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Section: Brief State‐of‐art Report On Development Of Smart Drip Irrig...mentioning

confidence: 99%

Experimental performance of soil monitoring system using IoT technique for automatic drip irrigation

Jain,

Mukherjee,

Karmakar

et al. 2023

Int J Communication

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“…The system was developed to avoid diseases in the plant in advance as the disease occurs within a certain range of temperature and humidity in the atmosphere. Wall and King devised an intelligent system that controls sprinkler valves with the help of field temperature and humidity sensors [17]; Miranda et al, 2003, came up with a distributed irrigation system that measures soil water [3,15]; and Greenhouse developed a multivariable fuzzy controller for the Greenhouse system. The developed fuzzy inference engine integrates the correlation of input variables and incorporates informal knowledge from field experts [14].…”

Section: Previous Researchmentioning

confidence: 99%

“…IoT-based technology can add value in terms of quality, sustainability, and production increase as it performs a range of operations and helps with decision-making [7]. Using fuzzy logic, artificial intelligence, and the Internet of Things in agriculture has many advantages for helping and developing agriculture, and it will also facilitate farms in reducing manufacturing costs and thus increasing profitability and sustainability [3]. Five emerging technologies around the main applications of Agriculture 4.0 and their research challenges are discussed below.…”

Section: Introductionmentioning

confidence: 99%

Reshaping of the Future Farming: From Industry 4

Ali,

Zakeri,

Llieva

et al. 2023

AJASR

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Contemporary agriculture faces many challenges, most notably the large and continuous increase in population numbers, which requires the greater provision of agricultural products to meet people's need for food. There are also other challenges such as global climate change, which has recently increased inefficiency due to droughts, desertification, irrigation water decreasing, increased soil contamination, plant diseases, heat waves, floods, and water salinity, causing many agricultural problems. The agricultural industry needs to invest in new techniques and infrastructure that enable it to transform into a smart industry capable of responding to these challenges through lean operations supported by industrial digital technologies (IDTs) to maintain efficiency, sustainability, and quality. The industry 4.0 strategy has been widely adopted by the manufacturing industry, enabling the manufacturing sector to achieve the enhanced optimization, efficiency, responsiveness, and autonomy premises of the digitalization strategy. This paper discusses the digitization of agriculture "from industry 4.0 towards agriculture 4.0," which relies on Internet of Things (IoT) technologies, artificial neural networks (ANN), AI, and fuzzy logic to make a quantum leap, in the future of agriculture sector. Internet of Things devices collect data from the devices or sensors, analyse, process, and transfer it, in addition to making the right decisions, without human intervention. IOT also provides the basic communications infrastructure that is used to connect smart devices, sensors, and UAVs to mobile devices by using the Internet. These processes will lead to many services, such as collecting and analysing the information, pattern recognition, and independent decision-making based on artificial intelligence added to the current agricultural automation. These technologies will lead to a revolution in the field of agriculture, which is probably one of the most inefficient sectors today.

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“…The emergence and rapid development of IoTs and Big Data Analytics presents interesting solutions to the above problem. (Badrun and Manaf, 2021;Salvi et al, 2017). In this context, an IoT system can connect multiple sensor nodes and other smart devices located in the field and link them to a local or cloud based controller.…”

Section: Introductionmentioning

confidence: 99%

Smart Crops Irrigation System with Low Energy Consumption

Pierre¹,

Sefu²,

Venuste³

et al. 2023

J Appropr Technol

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The COVID-19 preventive measurements restrict farm-workers from travel to their farms, social distancing and lockdown to prevent them from getting infected. Consequently, farming and irrigation activities are dramatically reduced due to shortage of farm-workers and reduction of crops production. To find solutions, various technologies have been adopted to remotely connect farmers with their farm-fields from their homes and perform the same work as they are in the farm. An Internet of Things (IoT) approach, modern sensor technologies, and smart irrigation equipment are coupled to allow the collection of the field data for automatic irrigation of the field. This paper presents the IoT system based on Fuzzy logic controller that assists farmers to receive and monitor necessary irrigation data from the farm field through their smart phones and PCs. The Wireless Sensor Networks (WSNs) are deployed in the field to measure the water content in the soil and water used for plants by measuring the soil moisture dynamics throughout the entire duration of the crop growing season in the Maize crop farm. The Fuzzy logic controller was used for data analytics and intelligent decision making as well as Fuzzy logic toolbox in MATLAB to simulate irrigation scheduling process. The system saves 50% of water and energy consumption for irrigation, 80% reduction of farm-workers and increase in 20% of crop production.

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The Development of Smart Irrigation System With IoT, Cloud, and Big Data

Cited by 7 publications

References 13 publications

Experimental performance of soil monitoring system using IoT technique for automatic drip irrigation

Experimental performance of soil monitoring system using IoT technique for automatic drip irrigation

Reshaping of the Future Farming: From Industry 4

Smart Crops Irrigation System with Low Energy Consumption

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