Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides

Talaviya, Tanha; Shah, Dhara N.; Patel, Nivedita; Yagnik, Hiteshri; Shah, Manan

doi:10.1016/j.aiia.2020.04.002

Cited by 437 publications

(311 citation statements)

References 66 publications

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“…An elaborate survey for PA in Australia [ 76 ] concluded that the majority of farmers make use of GPS systems and are, thus, susceptible to malfunctions that can lead to missing routes for autonomous vehicles and drones and, consequently, to problems in the cultivation procedure [ 76 ]. Through this example, it is clear that, in time-precise sectors such as agriculture, the availability of the equipment and systems utilized by farmers is critical [ 64 , 65 , 77 ].…”

Section: Security Threats In Modern Agriculturementioning

confidence: 99%

Survey on Security Threats in Agricultural IoT and Smart Farming

Demestichas

Πεππές

Alexakis

2020

Sensors

118

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The agriculture sector has held a major role in human societies across the planet throughout history. The rapid evolution in Information and Communication Technologies (ICT) strongly affects the structure and the procedures of modern agriculture. Despite the advantages gained from this evolution, there are several existing as well as emerging security threats that can severely impact the agricultural domain. The present paper provides an overview of the main existing and potential threats for agriculture. Initially, the paper presents an overview of the evolution of ICT solutions and how these may be utilized and affect the agriculture sector. It then conducts an extensive literature review on the use of ICT in agriculture, as well as on the associated emerging threats and vulnerabilities. The authors highlight the main ICT innovations, techniques, benefits, threats and mitigation measures by studying the literature on them and by providing a concise discussion on the possible impacts these could have on the agri-sector.

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Section: Security Threats In Modern Agriculturementioning

confidence: 99%

Survey on Security Threats in Agricultural IoT and Smart Farming

Demestichas

Πεππές

Alexakis

2020

Sensors

118

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“…The future of entertainment is likely to be influenced by advanced technologies such as AR [24,25]. Mobile technological devices have made it possible for the entertainment industry to change the way people interact and engage with games, sports, tours, performances, among other activities.…”

Section: Ar In Entertainmentmentioning

confidence: 99%

Systematic review and meta-analysis of augmented reality in medicine, retail, and games

Parekh

Patel

et al. 2020

Vis. Comput. Ind. Biomed. Art

Self Cite

116

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This paper presents a detailed review of the applications of augmented reality (AR) in three important fields where AR use is currently increasing. The objective of this study is to highlight how AR improves and enhances the user experience in entertainment, medicine, and retail. The authors briefly introduce the topic of AR and discuss its differences from virtual reality. They also explain the software and hardware technologies required for implementing an AR system and the different types of displays required for enhancing the user experience. The growth of AR in markets is also briefly discussed. In the three sections of the paper, the applications of AR are discussed. The use of AR in multiplayer gaming, computer games, broadcasting, and multimedia videos, as an aspect of entertainment and gaming is highlighted. AR in medicine involves the use of AR in medical healing, medical training, medical teaching, surgery, and post-medical treatment. AR in retail was discussed in terms of its uses in advertisement, marketing, fashion retail, and online shopping. The authors concluded the paper by detailing the future use of AR and its advantages and disadvantages in the current scenario.

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“…However, in these works of literature, most of them are assisted by an additional device server; this is an additional overhead to the hardware cost and should consider whether it is necessary, for example, Smart Farm, where communication of the network is poor. To ensure the reliability of Pesticide Spray Drone [ 26 ] to location, another device server that performs boundary operations is set-up. However, most end devices in Smart Farm are relatively simple (detecting temperature, humidity and brightness; switch on or off the water valves, etc.…”

Section: Related Workmentioning

confidence: 99%

A Framework for Off-Line Operation of Smart and Traditional Devices of IoT Services

Huang

2020

Sensors

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Recently, with the continuous evolution of information technology, various products such as Building Information, Internet of Things (IoT), Big Data, Cloud Computing and Machine Learning have been developed and have created a lifestyle change. A smart Internet of Things (IoT) system is formed by combining the communication capabilities of the internet with control, monitoring and identification services to integrate people, things and objects. However, in some IoT environments that have a weak signal, such as remote areas, warehouses or basements, the network may become unstable, meaning that the IoT system is unable to provide efficient services. This paper therefore presents a framework that ensures the reliability of IoT system services so that even if the IoT system cannot connect to the network, the system can provide the services offline. To avoid increasing the installation cost or replacing existing traditional devices with modern smart devices, this framework can also be used to control traditional devices. The system operation is convenient because users can operate all their smart and traditional devices under the IoT system through voice commands and/or a handheld microcontroller, thus reducing the manual operation of the user. The framework proposed in this paper can be applied to various smart scenarios, including smart warehouses, smart restaurants, smart homes, smart farms and smart factories, to improve people’s quality of life and convenience, and create a humane and comfortable smart living environment.

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Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides

Cited by 437 publications

References 66 publications

Survey on Security Threats in Agricultural IoT and Smart Farming

Survey on Security Threats in Agricultural IoT and Smart Farming

Systematic review and meta-analysis of augmented reality in medicine, retail, and games

A Framework for Off-Line Operation of Smart and Traditional Devices of IoT Services

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