The Internet of Things: Vision, Architecture and Applications

Deshpande, Prajakta; Damkonde, Anuja; Chavan, Vaibhav

doi:10.5120/ijca2017915722

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…Researchers have been attempting to build agricultural smart sensors that use cloud computing and Internet of Things (IoT) technologies to monitor environmental and crop data from the agricultural field over the past few decades. Deshpande et al (2017) defined the Internet of Things as a network of physical things that communicate and exchange information wirelessly over the Internet. Particular field operators can use these data to shift resources, such as materials, equipment and labour, to where they are most needed, resulting in better agricultural activities, reduced expenses and higher profits (Khanna & Kaur, 2019; Tzounis et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Development of a smart IoT‐based drip irrigation system for precision farming

Singh

Rao

et al. 2022

Irrigation and Drainage

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Precision irrigation scheduling using real-time sensors has the potential to boost water use efficiency while maximizing resource utilization. Traditional farming is adversely affected by improper resource management. To overcome a farmer's efforts, an IoT-based drip irrigation system was developed and tested for system performance. It was compared with an ETc-based drip irrigation system for brinjal crops grown in planter beds filled with vertisols. The developed system, consisting of sensors and microcontrollers, records the environmental parameters, namely, soil moisture content, soil temperature, and relative humidity and temperature. Irrigation scheduling was programmed using upper (field capacity) and lower thresholds (50% plant available water).Irrigation applications were triggered when the soil moisture value reached the lower threshold (33%) and ended after the field capacity was attained (46%). The information captured by the sensors is wirelessly uploaded to the cloud server using IoT technology, which can be accessed from anywhere in the world. It was observed that the IoT-based drip irrigation testing plant grew 1.3 cm taller than the ETc-based drip irrigation testing plant. The length and width of brinjal plant leaves also increased more than the ETc-based drip irrigation treatments. The IoT-based drip irrigation treatments improved pump operating time, leaf length and width by 85 min, 4.4 cm and 3.1 cm, respectively, compared to 125 min, 3.7 cm and 2.4 cm for the ETc-based drip irrigation treatment. During a period of 31 days, water savings of 35% were observed compared to ETc-based drip irrigation. The developed system was rugged, and a water-resistant enclosure allowed its use in outdoor agriculture fields.

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Section: Introductionmentioning

confidence: 99%

Development of a smart IoT‐based drip irrigation system for precision farming

Singh

Rao

et al. 2022

Irrigation and Drainage

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“…Precision farming is a farm management method that uses information technology to efficiently distribute resources and ensure that the crops and soil receive the exact nutrients needed at the perfect time for enhanced health and productivity [8]. In recent years, the researchers have tried to develop automated control irrigation systems for irrigation management by using cloud computing and IoT technology; IoT can be characterized as a network of independent objects that link and share data remotely over the Internet [9,10]. e gap between supply and demand is rising and sets new challenges adding pressure on the agriculture supply chain [11].…”

Section: Introductionmentioning

confidence: 99%

Review of Sensor Network-Based Irrigation Systems Using IoT and Remote Sensing

Awais

et al. 2020

Advances in Meteorology

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The motivation for this review paper came from the developing countries where the economy is mostly dependent on agriculture and climate conditions. Based on current conditions and historical records, profitability in production farming depends on making a right and timely operational decision. Precision farming is a systematic program designed to maximize the productivity of agriculture by carefully tailoring the soil and crop management to meet the specific requirements in each field while preserving environmental quality. This review paper highlights the development of an automated irrigation system with portable wireless sensor networks and decision support methods to remotely measure the environmental parameters in an agriculture field. Radio satellite, mobile phones, sensors, internet-based communication, and microcontroller capture the ecological parameters such as soil moisture, temperature, humidity, and light intensity. The knowledge gained from the sensors is transferred directly to the cloud server by using IoT technology. Users from anywhere in the world can display them through an internet-enabled device. Development of sensor-based application in modern agriculture makes it cost-effective and potentially productive and increases the efficiency through precision agriculture farming. Different limitations have been reported in the previously reviewed publications like the shortage of power in the field that can be solved by using a solar panel that recharges the battery at the same time using electricity. Bluetooth application in the agriculture sector is mainly improved by design system optimization. Problems related to transmission and radio range frequency can be solved by using a power class upgraded antenna.

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Foundation of IoT: An Overview

Din

Gupta

2020

Internet of Things (IoT)

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The Internet of Things: Vision, Architecture and Applications

Cited by 5 publications

References 23 publications

Development of a smart IoT‐based drip irrigation system for precision farming

Development of a smart IoT‐based drip irrigation system for precision farming

Review of Sensor Network-Based Irrigation Systems Using IoT and Remote Sensing

Foundation of IoT: An Overview

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