Survey on IoT and its Applications in Agriculture

Kanupuru, Priyanka; Reddy, N. V. Uma

doi:10.1109/icnews.2018.8903969

Cited by 7 publications

(5 citation statements)

References 14 publications

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“…This paper summarizes the usage of modern agriculture methods considering temperature, moisture, which are very useful for decision making in high yield productivity. In [12][13], the basic aim of the population is to shift towards modern agriculture methods. So, this limits natural resources which is the main problem in every country in recent days.…”

Section: Literature Review Related Workmentioning

confidence: 99%

“…Up to now we think that only a limited area of earth is appropriate for agriculture purposes due to several restrictions such as weather, temperature, environment and so on. But when we introduce IoT it gave a clear note that all yield ground has different features and the only limitation is to take some measures related to that crop [13][14]. WSN is a system consisting of microcontrollers, RF transceivers.…”

Section: Introductionmentioning

confidence: 99%

“…An IoT monitoring system that uses cloud computing has aided in the growth of modern agriculture. This IoT based agricultural applications provide better results to farmers for their respective crops and reduces global crisis [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Role of IoT in Intelligent Agriculture Network System

Ramadevi

Sankar

Singh

2022

Advances in Transdisciplinary Engineering

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Using an IoT system in precision agriculture removes the need for direct spraying by people, which is the focus of this study. When it comes to better managing agricultural needs, the Internet of Things plays a significant role. Currently, insecticides and fertilizers are sprayed by hand, endangering the nervous system of the sprayer and resulting in countless deaths. Farming in today’s world is hampered by a lack of trained labor and rapidly shifting environmental circumstances. Traditional farming methods need to be rethought in order to keep pace with today’s agricultural needs. Agriculture automation is therefore necessary, and this can be done via Wireless Sensor Networks and Internet of Things (IoT).

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Section: Literature Review Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Role of IoT in Intelligent Agriculture Network System

Ramadevi

Sankar

Singh

2022

Advances in Transdisciplinary Engineering

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“…The increased volume of research literature has made it difficult for individuals to assess the vast quantity of work to identify the suitable technologies and best practices for a particular technology. To this extent, there have been previous efforts to provide an overview of different technologies in SF such as IoT [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19], data analysis and machine learning techniques [14, Manuscript submitted for review on January 14, 2020. This publication was made possible by grant # AICC02-0505-190022 from the Qatar National Research Fund (a member of Qatar Foundation).…”

Section: Introductionmentioning

confidence: 99%

Technologies Driving the Shift to Smart Farming: A Review

Elbeheiry

Balog

2023

IEEE Sensors J.

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As today's agriculture industry is facing numerous challenges, including climate changes, encroachment of the urban environment and lack of qualified farmers, there is a need for new practices to ensure sustainable agriculture and food supply. Consequently, there is an emphasis on upgrading the farming practices by shifting towards Smart Farming (SF) -utilizing advanced information and communication technologies to improve the quantity and quality of the crop with minimal labor interference. SF has gained lots of interest in recent years utilizing a variety of technological innovations in the field, which imposes a challenge on farmers and technology integrators to identify the suitable technologies and best practices for a particular application. This paper provides a survey of the most recent SF scientific literature to identify common practices toward technology integration, challenges, and solutions. The survey was conducted on 588 papers published on the IEEE database following Cochrane methods to ensure appropriate analysis and interpretation of results. The papers' contributions were analyzed to identify necessary technologies that constitute SF, and consequently, research themes were identified. The identified themes are sensors, communication, big data, actuators and machines, and data analysis. Besides presenting an in-depth analysis of each identified theme, the paper discusses integrating more than one technology in systems to achieve independency. The most common SF systems are remote monitoring, autonomous, and intelligent decision-making systems.

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“…These technologies also enable farmers to combine multiple data sets to make more efficient use of natural resources and achieve higher agricultural yields [ 8 ]. As a result, it is possible to establish crop alternatives in different locations based on changing agroclimatology to achieve an appropriate balance between farm costs and crop yields.…”

Section: Introductionmentioning

confidence: 99%

Climate-Aware and IoT-Enabled Selection of the Most Suitable Stone Fruit Tree Variety

López-Morales

Martı́nez²,

Caro³

et al. 2021

Sensors

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The application of new technologies such as the Internet of Things offers the opportunity to improve current agricultural development, facilitate daily tasks, and turn farms into efficient and sustainable production systems. The use of these new technologies enables the digital transformation process demanded by the sector and provides agricultural collectives with more optimized analysis and prediction tools. Due to climate change, one of the farm industry’s problems is the advance or decay in the cycle of stone fruit trees. The objective is to recommend whether a specific area meets the minimum climatic requirements for planting certain stone fruit trees based on climatic data and bioclimatic indicators. The methodology used implements a large amount of meteorological data to generate information on specific climatic conditions and interactions on crops. In this work, a pilot study has been carried out in the Region of Murcia using an IoT platform. We simulate scenarios for the development of stone fruit varieties better adapted to the environment. Based on the standard, open interfaces, and protocols, the platform integrates heterogeneous information sources and interoperability with other third-party solutions to exchange and exploit such information.

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Survey on IoT and its Applications in Agriculture

Cited by 7 publications

References 14 publications

Role of IoT in Intelligent Agriculture Network System

Role of IoT in Intelligent Agriculture Network System

Technologies Driving the Shift to Smart Farming: A Review

Climate-Aware and IoT-Enabled Selection of the Most Suitable Stone Fruit Tree Variety

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