Smart Agriculture Using Internet of Things with Raspberry Pi

Muhammad, Zuraida; Hafez, Muhammad Azri Asyraf Mohd; Leh, Nor Adni Mat; Yusoff, Zakiah Mohd; Hamid, Shabinar Abd

doi:10.1109/iccsce50387.2020.9204927

Cited by 28 publications

(11 citation statements)

References 6 publications

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“…To deal with the limited processing and storing capabilities, most literature chooses to send data to a central cloud designed to manage a huge amount of data. Thing speak [89,134,137,[203][204][205][206], Ubidots [94], Blynk [207,208], OneNet [209], Amazon web services [100], GoogleColab [210,211]are examples of free IoT cloud services. The advantage of using those cloud services is the ease of integration.…”

Section: Managing Big Datamentioning

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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Section: Managing Big Datamentioning

confidence: 99%

Technologies Driving the Shift to Smart Farming: A Review

Elbeheiry

Balog

2023

IEEE Sensors J.

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“…IoT is critical for agriculture. For instance, an IoT-enabled smart agricultural system was integrated with an irrigation system in order to deal with Malaysia's inconsistent weather [92]. This system's microcontroller is a Raspberry Pi 4 Model B.…”

Section: Iot and Agriculturementioning

confidence: 99%

“…Additionally, it will have a beneficial influence on Malaysia's agriculture productivity. Where a water savings rate of around 24.44 percent per year may be realised when implementing IoT-based irrigation systems vs traditional irrigation systems [92]. This will save money on labour costs and prevent water loss during regular activities [98][99][100].…”

Section: Iot and Agriculturementioning

confidence: 99%

A Review of Internet of Things Application in Malaysia

2022

BJoST

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Smart and Internet of Things (IoT) technology' fast growth and application has produced new opportunities for technological advancements in a wide variety of areas. The fundamental objective of IoT technology is to optimise operations across a wide variety of sectors, to boost system efficiency (via technology or specialised activities), and to ultimately improve living quality. While the fast rise of IoT technology provides several beneficial benefits, this rapid growth must be adequately monitored and analysed from an environmental perspective in order to minimise negative consequences. Malaysia is one of the nations that are in the planning stages of increasing IoT applications, which is comparable to other countries experiencing rapid IoT growth. This article discusses the latest breakthroughs and uses of the Internet of Things in Malaysia. Additionally, it examines current IoT applications and implementations in a variety of sectors, including manufacturing, agriculture, education, healthcare, smart cities, and transportation. The future developments and uses of IoT also were discussed in this article in order to have a better grasp of the technology. The review article's key conclusions aided in a better understanding of current technological advancements in IoT applications.

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“…Another model was proposed using IOT for checking various parameters like temperature, humidity, soil moisture, etc., so that the crop production can be increased. Moreover, water supply is also constantly monitored by the model so that water can be distributed in right place, in right time, and in right amount [3,4]. A model based on wireless sensor network technology was proposed to keep track of farmer's field in terms of soil and crop monitoring.…”

Section: Related Researchmentioning

confidence: 99%

Smart Agriculture Using Polyhouse

Agarwal

Pant

Gangadharan

et al. 2021

Advances in Intelligent Systems and Computing

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Agriculture plays a great role in the development of agricultural country like India. Issues related to agriculture have been always hindering the development of the country. Each year many crops go waste due to a lack of optimal climatic conditions to support the growth of crops. Losses of around 11 billion dollars are reported in India each year alone. The farmers in India suffer a lot due to the low productivity. The only way out to this problem is smart agriculture by modernizing the current traditional methods of agriculture. Hence it aims at making agriculture smart using automation, Machine learning and IoT technologies. Polyhouse is one such method in implementing smart agriculture. Automated polyhouses are very useful in maintaining most of the adverse factors. It includes various types of sensors connected with a database. Smart Agriculture is a solution for monitoring air temperature, soil moisture, humidity, sunlight exposure, water required, etc. It becomes difficult for a human to maintain all these aspects at a time, thus smart agriculture becomes a necessary. This paper proposes a model for polyhouse using various sensors. Using this technology, data from various sensors will be analyzed to help in decision making.

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Smart Agriculture Using Internet of Things with Raspberry Pi

Cited by 28 publications

References 6 publications

Technologies Driving the Shift to Smart Farming: A Review

Technologies Driving the Shift to Smart Farming: A Review

A Review of Internet of Things Application in Malaysia

Smart Agriculture Using Polyhouse

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