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Intelligent Agriculture
Type: Book
ISBN: 978-1-78973-843-8

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Intelligent Agriculture
Type: Book
ISBN: 978-1-78973-843-8

Book part
Publication date: 30 September 2020

Rashbir Singh, Prateek Singh and Latika Kharb

Internet of Things (IoT) and artificial intelligence are two leading technologies that bought revolution to each and every field of humans using in daily life by making everything…

Abstract

Internet of Things (IoT) and artificial intelligence are two leading technologies that bought revolution to each and every field of humans using in daily life by making everything smarter than ever. IoT leads to a network of things which creates a self-configuring network. Improving farm productivity is essential to meet the rapidly growing demand for food. In this chapter, the authors have introduced a smart greenhouse by integration of two leading technologies in the market (i.e., Machine Learning and IoT). In proposed model, several sensors are used for data collection and managing the environment of greenhouse. The idea is to propose an IoT and Machine Learning based smart nursery that helps in healthy growing and monitoring of the seed. The structure will be a dome-like structure for observation and isolation of an egg with various sensors like pressure, humidity, temperature, light, moisture, conductivity, air quality, etc. to monitor the nursery internal environment and maintain the control and flow of water and other minerals inside the nursery. The nursery will have a solar panel from which it stores the electricity generated from the sun, a small fan to control the flow of air and pressure. A camera will also be equipped inside the nursery that will use computer vision technology to monitor the health of the plant and will be trained on the past data to notify the user if the plant is diseased or need attention.

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Big Data Analytics and Intelligence: A Perspective for Health Care
Type: Book
ISBN: 978-1-83909-099-8

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Intelligent Agriculture
Type: Book
ISBN: 978-1-78973-843-8

Book part
Publication date: 18 January 2024

Deejaysing Jogee, Manta Devi Nowbuth, Virendra Proag and Jean-Luc Probst

It is now well-established that good water quality is associated with economic prosperity, reduced incidence on public health and the good functioning of the various ecosystems…

Abstract

It is now well-established that good water quality is associated with economic prosperity, reduced incidence on public health and the good functioning of the various ecosystems found in our environment. Water contamination is mostly related to both diffused (agricultural lands and geologic rock degradations) and point sources of pollution. Mauritius has many water resources which depend solely on precipitation for their replenishment. Water parameters which are of relevance include total dissolved solids (TDS), temperature, pH, electrical conductivity, turbidity, dissolved oxygen, dissolved and particulate organic carbon and major cations and anions. The traditional methods of analysis for these parameters are mostly using electrical and optical methods (probes and sensors in the field), while chemical titrations, Flame AAS and High-Performance Liquid Chromatography techniques are carried out in the laboratory. Image Classification techniques using neural networks can also be used to detect the presence of contaminants in water. In addition to basic water quality parameters, the field sensors range have been extended to cover important major ions and can now be integrated with Artificial Intelligence (AI)-based models for the prediction of variations in water quality to better protect human health and the environment, reduce operation costs of water and wastewater treatment plant unit processes.

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Artificial Intelligence, Engineering Systems and Sustainable Development
Type: Book
ISBN: 978-1-83753-540-8

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Book part
Publication date: 18 January 2024

Robert T. F. Ah King, Bhimsen Rajkumarsingh, Pratima Jeetah, Geeta Somaroo and Deejaysing Jogee

There is an urgent need to develop climate-smart agrosystems capable of mitigating climate change and adapting to its effects. Conventional agricultural practices prevail in…

Abstract

There is an urgent need to develop climate-smart agrosystems capable of mitigating climate change and adapting to its effects. Conventional agricultural practices prevail in Mauritius, whereby synthetic chemical fertilizers, pesticides and insecticides are used. It should be noted that Mauritius remains a net-food importing developing country of staple food such as cereals and products, roots and tubers, pulses, oil crops, vegetables, fruits and meat (FAO, 2011). In Mauritius, the agricultural sector faces extreme weather conditions like drought or heavy rainfall. Moreover, to increase the crop yields, farmers tend to use 2.5 times the prescribed amount of fertilizers in their fields. These excess fertilizers are washed away during heavy rainfall and contaminate lakes and river waters. By using smart irrigation and fertilization system, a better management of soil water reserves for improved agricultural production can be implemented. Soil Nitrogen, Phosphorus and Potassium (NPK) content, humidity, pH, conductivity and moisture data can be monitored through the cloud platform. The data will be processed at the level of the cloud and an appropriate mix of NPK and irrigation will be used to optimise the growth of the crops. Machine learning algorithms will be used for the control of the land drainage, fertilization and irrigation systems and real time data will be available through a mobile application for the whole system. This will contribute towards the Sustainable Development Goals (SDGs): 2 (Zero Hunger), 11 (Sustainable cities and communities), 12 (Responsible consumption and production) and 15 (Life on Land). With this project, the yield of crops will be boosted, thus reducing the hunger rate (SDG 2). On top of that, this will encourage farmers to collect the waters and reduce fertilizer consumption thereafter sustaining the quality of the soil on which they are cultivating the crops, thereby increasing their yields (SDG 15).

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Artificial Intelligence, Engineering Systems and Sustainable Development
Type: Book
ISBN: 978-1-83753-540-8

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Book part
Publication date: 30 September 2020

Prerna Sharma and Deepali Kamthania

In this chapter, an attempt has been made to develop a security-based hardware system using an 8-bit single-chip microcontroller in conjunction with some sensor technology and…

Abstract

In this chapter, an attempt has been made to develop a security-based hardware system using an 8-bit single-chip microcontroller in conjunction with some sensor technology and lighting and alarming actuators. The proposed system aims to ensure the security and privacy of a dedicated area in terms of unauthorized human intrusion, hazardous gas leakage, extreme prolonged temperature changes, atypical smoke or vapor content in space and abrupt drop in illumination. The proposed system is capable of detecting any type of physical intervention and hazardous anomalies in the environment of the reserved space. In order to define the operation of the system, programs written in C++ with the special rule of code structuring have been deployed on the microcontroller using the Arduino Integrated Development Environment. The system is like a small container, enclosing all the respective sensor modules, microcontroller board and open connections for actuators. The proposed system is easy to use hardware and does not demand any human intervention for its functioning and can be installed with almost no changes in the infrastructure.

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Big Data Analytics and Intelligence: A Perspective for Health Care
Type: Book
ISBN: 978-1-83909-099-8

Keywords

Content available
Book part
Publication date: 4 December 2020

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Application of Big Data and Business Analytics
Type: Book
ISBN: 978-1-80043-884-2

Book part
Publication date: 4 November 2022

Hakan Boz and Erdogan Koç

This chapter explains and discusses the role and potential of psychophysiological tools of research in tourism and hospitality. As tourism and hospitality services are in general…

Abstract

This chapter explains and discusses the role and potential of psychophysiological tools of research in tourism and hospitality. As tourism and hospitality services are in general inseparable, i.e. the delivery and the consumption of the service mostly take place at the same time, they tend to involve service encounters which intense and frequent contact and social interactions between the customers and the service providers. These intense and frequent contact and social interactions during service encounters may determine the satisfaction and dissatisfaction of the customers. Hence, the measurement of actual emotions to understand the reactions of customers to various aspects of the service is of paramount importance. Psychophysiological tools, often referred to as neuromarketing tools, allow the collection of realistic data regarding the emotions of the customers. Based on the above background, this chapter explains and discusses the use of tools such as the EEG, Eye Tracker, Galvanic Skin Response, and Facial Expression Recognition in understanding tourism and hospitality customers' reactions and emotions to various aspects of the service.

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Advanced Research Methods in Hospitality and Tourism
Type: Book
ISBN: 978-1-80117-550-0

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Book part
Publication date: 9 July 2004

Dawn T Robinson, Christabel L Rogalin and Lynn Smith-Lovin

After a vigorous debate in the late 1970s, the sociology of emotion put aside most discussion of whether or not the physiological arousal associated with emotion labels is…

Abstract

After a vigorous debate in the late 1970s, the sociology of emotion put aside most discussion of whether or not the physiological arousal associated with emotion labels is differentiated. Since this early period, scholars have made great progress on two fronts. First, theories about the interrelationship of identity, action and emotion have specified a family of new concepts related to emotion. Second, a large corpus of research on the physiological correlates of emotional experience emerged. In this chapter, we review the well-developed control theories of identity and emotion, and focus on the key concepts that might relate to different physiological states. We then review the general classes of physiological measures, discussing their reliability, intrusiveness and other features that might determine their usefulness for tracking responses to social interaction. We then offer a highly provisional mapping of physiological measures onto the concepts that they might potentially measure, given past research about how these physiological processes relate to environmental stimuli. While any linkage between concepts and measures must be speculative at this point, we hope that this review will serve as a stimulus to theoretically guided research that begins to assess the validity of these new measures for sociological use.

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Theory and Research on Human Emotions
Type: Book
ISBN: 978-0-76231-108-8

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