Disrupting Agriculture

2021 ◽  
pp. 771-812
Author(s):  
Omar F. El-Gayar ◽  
Martinson Q. Ofori
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Big Data ◽  
New Paradigm ◽  
Agricultural Industry ◽  
Decision Systems ◽  
Food And Agriculture ◽  
Key Stakeholders ◽  
Smart Agriculture ◽  
Key Aspects

The United Nations (UN) Food and Agriculture (FAO) estimates that farmers will need to produce about 70% more food by 2050. To accommodate the growing demand, the agricultural industry has grown from labor-intensive to smart agriculture, or Agriculture 4.0, which includes farm equipment that are enhanced using autonomous unmanned decision systems (robotics), big data, and artificial intelligence. In this chapter, the authors conduct a systematic review focusing on big data and artificial intelligence in agriculture. To further guide the literature review process and organize the findings, they devise a framework based on extant literature. The framework is aimed to capture key aspects of agricultural processes, supporting supply chain, key stakeholders with a particular emphasis on the potential, drivers, and challenges of big data and artificial intelligence. They discuss how this new paradigm may be shaped differently depending on context, namely developed and developing countries.

Disrupting Agriculture

2020 ◽  
pp. 174-215 ◽  
Author(s):  
Omar F. El-Gayar ◽  
Martinson Q. Ofori
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Big Data ◽  
New Paradigm ◽  
Agricultural Industry ◽  
Decision Systems ◽  
Food And Agriculture ◽  
Key Stakeholders ◽  
Smart Agriculture ◽  
Key Aspects

The United Nations (UN) Food and Agriculture (FAO) estimates that farmers will need to produce about 70% more food by 2050. To accommodate the growing demand, the agricultural industry has grown from labor-intensive to smart agriculture, or Agriculture 4.0, which includes farm equipment that are enhanced using autonomous unmanned decision systems (robotics), big data, and artificial intelligence. In this chapter, the authors conduct a systematic review focusing on big data and artificial intelligence in agriculture. To further guide the literature review process and organize the findings, they devise a framework based on extant literature. The framework is aimed to capture key aspects of agricultural processes, supporting supply chain, key stakeholders with a particular emphasis on the potential, drivers, and challenges of big data and artificial intelligence. They discuss how this new paradigm may be shaped differently depending on context, namely developed and developing countries.

Applications of Artificial Intelligence for Smart Agriculture

2021 ◽  
pp. 277-288
Author(s):  
Suresh Sankaranarayanan
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Smart City ◽  
Autonomous Robots ◽  
Smart Cities ◽  
Building Blocks ◽  
City Management ◽  
Latency Reduction ◽  
Smart Agriculture ◽  
Growing Population

Smart cities is the latest buzzword towards bringing innovation, technology, and intelligence for meeting the demand of ever-growing population. Technologies like internet of things (IoT), artificial intelligence (AI), edge computing, big data, wireless communication are the main building blocks for smart city project initiatives. Now with the upcoming of latest technologies like IoT-enabled sensors, drones, and autonomous robots, they have their application in agriculture along with AI towards smart agriculture. In addition to traditional farming called outdoor farming, a lot of insights have gone with the advent of IoT technologies and artificial intelligence in indoor farming like hydroponics, aeroponics. Now along with IoT, artificial intelligence, big data, and analytics for smart city management towards smart agriculture, there is big trend towards fog/edge, which extends the cloud computing towards bandwidth, latency reduction. This chapter focuses on artificial intelligence in IoT-edge for smart agriculture.

scholarly journals Introduction of Smart Agriculture

2021 ◽  
pp. 187-190
Author(s):  
Christian Zinke-Wehlmann ◽  
Karel Charvát
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Linked Data ◽  
Smart Agriculture

AbstractSmart agriculture is a rising area bringing the benefits of digitalization through big data, artificial intelligence and linked data into the agricultural domain. This chapter motivates the use and describes the rise of smart agriculture.

scholarly journals Integration of Cloud Computing, Big Data, Artificial Intelligence, and Internet of Things

2021 ◽  
Vol 16 (1) ◽  
pp. 10-17
Author(s):  
Drissi Saadia
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Detailed Analysis ◽  
New Paradigm ◽  
Research Papers ◽  
Research Issues ◽  
New Challenges ◽  
Open Issues

Cloud computing, internet of things (IoT), artificial intelligence, and big data are four very different technologies that are already discussed separately. The use of the four technologies is required to be more and more necessary in the present day in order to make them important components in today's world technology. In this paper, the authors center their attention on the integration of cloud, IoT, big data, and artificial intelligence. Several kinds of research papers have surveyed artificial intelligence, cloud, IoT, and big data separately and, more precisely, their main properties, characteristics, underlying technologies, and open issues. However, to the greatest of the authors' knowledge, these works require a detailed analysis of the new paradigm that combines the four technologies, which suggests completely new challenges and research issues. To bridge this gap, this paper presents a survey on the integration of cloud, IoT, artificial intelligence, and big data.

scholarly journals Artificial Intelligence Techniques for Distance Education: A Systematic Literature Review

TEM Journal ◽  
2021 ◽  
pp. 1621-1629
Author(s):  
Aayat Aljarrah ◽  
Mustafa Ababneh ◽  
Damla Karagozlu ◽  
Fezile Ozdamli
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Distance Education ◽  
Big Data ◽  
Distance Learning ◽  
Affective Computing ◽  
Learning System ◽  
Educational Systems ◽  
Artificial Intelligence Techniques ◽  
Educational Processes

In the current era, education, like other fields, relies heavily on big data. Moreover, artificial intelligence, including affective computing, is one of the most essential and popular technologies adopted by educational institutions to process and analyze big data. In this systematic review, many previous research types related to improving educational systems using artificial intelligence techniques were studied, such as: deep learning, machine learning, and affective computing. This systematic review aims to identify the gaps in students' emotional understanding in distance education systems. The world has recently witnessed the spread of educational processes for distance learning, especially in the university and the enormous open online courses (MOOCs). Besides, the COVID-19 pandemic has been involved in changing all educational processes to a distance learning system. The results indicated that these systems recorded a high success rate. However, the teacher does not fully understand the student’s emotional state during the educational session. It also lacks monitoring or monitoring during the electronic exams, which are electronic exams. So, it is a widespread problem in distance learning.

scholarly journals Tracking the New Demand for Justice in the Big Data Ecosystem

2018 ◽  
Vol 10 (1) ◽  
pp. 90
Author(s):  
Carmen Vargas Pérez ◽  
Juan Luis Peñaloza Figueroa
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Social Welfare ◽  
Law And Economics ◽  
Point Of View ◽  
Unstructured Data ◽  
New Paradigm ◽  
Huge Amount ◽  
Equity And Efficiency ◽  
Data Ecosystem

Many studies have focused on the possibilities that organizations have to mine and analyze, through computational analytics, the huge amount of structured and unstructured data that is now available, to determine correlations and thus reveal patterns, trends, and associations to predict human behaviour; and to transform this information into knowledge for companies and governments. That is, just from the point of view of the suppliers of good and services. In this paper we contribute to the Law and Economics literature by showing that the logic of Big Data, the access to the cloud, and the use of Artificial Intelligence are drastically changing the ordinary citizen's way of making decisions in the field of justice; and that this new paradigm in the Demand for Justice will mean improvements in terms of both equity and efficiency, and ultimately an improvement in social welfare.

scholarly journals A Study on the Transformation of Accounting Based on New Technologies: Evidence from Korea

2020 ◽  
Vol 12 (20) ◽  
pp. 8669
Author(s):  
Sora Yoon
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Big Data ◽  
Research Methodology ◽  
New Technologies ◽  
Actual Practice ◽  
Review Of The Literature ◽  
Analytical Process ◽  
Academic Publications ◽  
Technology Transformation

This study identifies the new accounting technologies into Cloud, Artificial Intelligence, Big Data, and Blockchain, and introduces the case of Korean companies applying new technologies to their accounting process. The purpose of this study is to help understand accounting technologies and provide examples of the adoption of these technologies in actual practice. To achieve this aim of the study, a systematic review of the literature of the major academic publications and professional reports and websites was used as a research methodology. In order to select the cases, it performed the analytical process of reviewing Korean major business and economic newspaper articles. This study provides evidence from Korea to companies contemplating the transformation of their accounting process using technology. Such companies can consider the cases presented in this study as a benchmark. It also offers guidance for the application of technologies to accounting practices for businesses and related researchers. The technology transformation is expected to be accelerated, especially after COVID-19. Therefore, it is necessary to understand and explore ways to effectively apply them. Further, while new technologies offer many opportunities, associated risks and threats should be addressed.

scholarly journals Project Management in the Fourth Industrial Revolution

2021 ◽  
Vol 9 (2) ◽  
pp. 79-96
Author(s):  
António Cabeças ◽  
Mário Marques da Silva
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
New Technologies ◽  
High Impact ◽  
Human Adaptation ◽  
New Paradigm ◽  
Quantum Communications ◽  
Fourth Industrial Revolution

The Fourth Industrial Revolution (also referred to as Industry 4.0) is driven by a massive utilization of new technologies, such as robots, artificial intelligence, Internet of Things (IoT), Big Data, Quantum Computing and Quantum Communications, replacing humans by machines in certain tasks or the development of new or more efficient tasks. The Fourth Industrial Revolution is originating huge modifications in society and organizations. Human adaptation to the new paradigm is required, as it will have a high impact on jobs and on the required skills.

scholarly journals Tracking the New Demand for Justice in the Big Data Ecosystem

2018 ◽  
Vol 4 (1) ◽  
pp. 89-97
Author(s):  
Carmen Vargas Pérez ◽  
Juan Luis Peñaloza Figueroa
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Social Welfare ◽  
Law And Economics ◽  
Point Of View ◽  
Unstructured Data ◽  
New Paradigm ◽  
Huge Amount ◽  
Equity And Efficiency ◽  
Data Ecosystem

Abstract Many studies have focused on the possibilities that organizations have to mine and analyze, through computational analytics, the huge amount of structured and unstructured data that is now available, to determine correlations and thus reveal patterns, trends, and associations to predict human behaviour; and to transform this information into knowledge for companies and governments. That is, just from the point of view of the suppliers of good and services. In this paper we contribute to the Law and Economics literature by showing that the logic of Big Data, the access to the cloud, and the use of Artificial Intelligence are drastically changing the ordinary citizen's way of making decisions in the field of justice; and that this new paradigm in the Demand for Justice will mean improvements in terms of both equity and efficiency, and ultimately an improvement in social welfare.

KPIs for Mobile Apps and Digital Data Management in Healthcare

2021 ◽  
pp. 238-265
Author(s):  
Rebeca Antolín-Prieto ◽  
Nuria Ruiz-Lacaci ◽  
Ana Reyes-Menendez
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Big Data ◽  
Product Quality ◽  
Mobile Apps ◽  
Healthcare Management ◽  
Digital Data ◽  
Mobile Technologies ◽  
Review Of The Literature ◽  
Scientific Databases

This study aimed to identify quantitative and qualitative KPIs for the implementation of apps and use of digital data in healthcare management. To this end, a systematic review of the literature was undertaken to analyze relevant scientific articles downloaded from reputed scientific databases (Scopus, PubMed, PsyINFO, ScienceDirect, and WOS). The databases were searched using the following keywords: “Big Data,” “Artificial Intelligence,” “Mobile Technologies,” “APP,” “Disease,” “Geolocation,” and “Health.” Subsequently, 25 qualitative and quantitative KPI values, as rating, product quality, or unique users, were identified for the successful preparation and management of healthcare based on apps and the use of digital data.

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