A comprehensive review on automation in agriculture using artificial intelligence

Jha, Kirtan; Doshi, Aalap; Patel, Poojan; Shah, Manan

doi:10.1016/j.aiia.2019.05.004

Cited by 547 publications

(330 citation statements)

References 33 publications

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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

115

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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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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

115

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“…For instance, Castillo-Cara et al [70] proposed a scalable network architecture for monitoring and managing farms in rural areas that embeds fog computing capabilities to increase coverage and throughput. To even further enhance agricultural automation and remote sensing, these systems require processing of enormous amounts of remotely sensed data from different platforms and, therefore, greater attention is currently being devoted to machine learning methods and artificial intelligence algorithms [71,72].…”

Section: Wsns Challenges and Opportunitiesmentioning

confidence: 99%

Wireless Sensor Network Synchronization for Precision Agriculture Applications

et al. 2020

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The advent of Internet of Things has propelled the agricultural domain through the integration of sensory devices, capable of monitoring and wirelessly propagating information to producers; thus, they employ Wireless Sensor Networks (WSNs). These WSNs allow real time monitoring, enabling intelligent decision-making to maximize yields and minimize cost. Designing and deploying a WSN is a challenging and multivariate task, dependent on the considered environment. For example, a need for network synchronization arises in such networks to correlate acquired measurements. This work focuses on the design and installation of a WSN that is capable of facilitating the sensing aspects of smart and precision agriculture applications. A system is designed and implemented to address specific design requirements that are brought about by the considered environment. A simple synchronization scheme is described to provide time-correlated measurements using the sink node’s clock as reference. The proposed system was installed on an olive grove to assess its effectiveness in providing a low-cost system, capable of acquiring synchronized measurements. The obtained results indicate the system’s overall effectiveness, revealing a small but expected difference in the acquired measurements’ time correlation, caused mostly by serial transmission delays, while yielding a plethora of relevant environmental conditions.

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“…Later they used Convolutional neural network for performing the data flow control. Jha, et al, [10,11], presented the survey on various problems that will arise for a crop in agriculture by choosing the grape crop. They also discussed about various challenges that are recognized in the crop management and various machine learning strategies that can be applied for effective or smart agriculture application.…”

Section: Related Workmentioning

confidence: 99%

An effective identification of crop diseases using faster region based convolutional neural network and expert systems

Chandana

Ghantasala²,

Jeny

et al. 2020

IJECE

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The majority of research Study is moving towards cognitive computing, ubiquitous computing, internet of things (IoT) which focus on some of the real time applications like smart cities, smart agriculture, wearable smart devices. The objective of the research in this paper is to integrate the image processing strategies to the smart agriculture techniques to help the farmers to use the latest innovations of technology in order to resolve the issues of crops like infections or diseases to their crops which may be due to bugs or due to climatic conditions or may be due to soil consistency. As IoT is playing a crucial role in smart agriculture, the concept of infection recognition using object recognition the image processing strategy can help out the farmers greatly without making them to learn much about the technology and also helps them to sort out the issues with respect to crop. In this paper, an attempt of integrating kissan application with expert systems and image processing is made in order to help the farmers to have an immediate solution for the problem identified in a crop.

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A comprehensive review on automation in agriculture using artificial intelligence

Cited by 547 publications

References 33 publications

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

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

Wireless Sensor Network Synchronization for Precision Agriculture Applications

An effective identification of crop diseases using faster region based convolutional neural network and expert systems

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