Biometric authentication and image encryption for image security in cloud framework

Kakkad, Vishruti; Patel, Meshwa; Shah, Manan

doi:10.1007/s41939-019-00049-y

Cited by 111 publications

(39 citation statements)

References 25 publications

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“…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. AR combines real and virtual worlds in 3D while being interactive [26][27][28].…”

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

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123

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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

123

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“…It is expected that the combination of IT and agricultural techniques will result in increased output, perhaps up to 60% (Donepudi, 2014b). However, with the introduction of technology, companies have undergone dramatic changes across many industries globally (Kakkad, Patel, Shah, 2019). Thus, the Agricultural sector being the least digitized industry has seen tremendous growth in the development and commercialization of agricultural technologies.…”

Section: Literature Reviewmentioning

confidence: 99%

How Artificial Intelligence Improves Agricultural Productivity and Sustainability: A Global Thematic Analysis

Vadlamudi¹

2019

Asia Pac. j. energy environ.

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In the face of the agricultural sector's challenges, food security with an increasing human population and high demand for food is a significant problem. Traditional methods used by farmers have not been sufficient to meet the food requirements of the growing population. As a result, the agricultural sector has begun to deploy artificial intelligence to meet the demand for food and sustainability. This study was conducted to examine how AI improves farmers' productivity and sustainability. Data were analyzed using centering resonance analysis, t-test, ANOVA, and text mining news articles from 2014-2019 in Africa, Asia, Europe, and North America. Results show that AI is used primarily to increase productivity and efficiency and secondarily to address labor shortages and environmental sustainability concerns. The results at the regional level reflect the active adoption of AI in North America and Europe, with increasing efforts in Asia and Africa.

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“…Thus, the application of all available advanced technologies towards managing crop variability and maintaining or improving yields and reducing negative impacts on environmental quality, namely advancements in precision agriculture [5] is central to approaching these issues. There has been a drastic shift in many industries across the globe with the advent of technology [6]. Surprisingly, agriculture has seen traction for the advancement and commercialization of agricul tural technology, despite being the least digitised.…”

Section: Introductionmentioning

confidence: 99%

The Prospect of Artificial Intelligence (AI) in Precision Agriculture for Farming Systems Productivity in Sub-Tropical India: A Review

Naresh

Chandra

Vivek

et al. 2020

CJAST

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Agriculture is becoming more integrated in the agro-food chain and the global market, while environmental, food safety and quality are also increasingly impacting on the sector. It is facing with new challenges to meet growing demands for food, to be internationally competitive and to produce agricultural products of high quality. To cope with these challenges, Agriculture requires a continuous and sustainable increase in productivity and efficiency on all levels of agricultural production, while resources like water, energy, fertilizers etc. need to be used carefully and efficiently in order to protect and maintain the soil quality and environment. Consequently, Agriculture needs help in handling the complexity, uncertainty and fuzziness inherent in this domain. It requires new solutions for all aspects of agricultural farming, including precision farming and optimized resource application. Artificial Intelligence (AI) technology helps various industries to improve production and productivity. In agriculture, AI also allows farmers to increase their productivity and reduce negative environmental impacts. AI is changing the way our food is processed, where emissions from the agricultural sector have decreased by 20%. Together with precision agriculture (PA) and other emerging technologies, artificial intelligence (AI) can play a key role in modernizing agricultural practices and achieving the goal of improving the productivity of alternative arable cropping systems. In offering progressive change with advanced approaches, AI's future in agriculture is well ahead. The aim of this paper is to review various agricultural intelligence applications and to reduce the use of colossal amounts of chemicals with the aid of these technologies, resulting in reduced spending, improved soil fertility and increased productivity. With AI tools and machine learning, farmers can improve yields, protect their crops and have a much more reliable source of food.

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Biometric authentication and image encryption for image security in cloud framework

Cited by 111 publications

References 25 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

How Artificial Intelligence Improves Agricultural Productivity and Sustainability: A Global Thematic Analysis

The Prospect of Artificial Intelligence (AI) in Precision Agriculture for Farming Systems Productivity in Sub-Tropical India: A Review

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