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You Know The Glory, Not The Story!: 25 Journeys Towards Ikigai

You Know The Glory, Not The Story!: 25 Journeys Towards Ikigai

Rahul Singh; Naresh Kumar Agarwal

World Scientific Publishing Co Pte Ltd
2021
sidottu
The Japanese word, Ikigai means 'reason for being'. Think of what you love, what you are good at, what you can be paid for, and what the world needs. When these come together, you get your Ikigai. However, Ikigai can be beyond these four components and doesn't have to include any or all of them. The moments each day where you live fully — engaging in a hobby or pursuit, learning, connecting with people, being useful, choosing empathy over apathy, and being in the present — and the small joys that inhabit those moments make your Ikigai. You can have more than one Ikigai and it can change with time. You already have your Ikigai and just need to discover it!The book unveils the life journeys of 25 teens that left India for the uncharted waters of Singapore in the 1990s and early 2000s. Each story started with engineering and took the person to one's calling — dance, filmmaking, entrepreneurship, mountaineering, philanthropy, research, and even monkhood. Did they find their Ikigai? Uncover the pages to find out!
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Digital Mapping of Soil Landscape Parameters

Digital Mapping of Soil Landscape Parameters

Pradeep Kumar Garg; Rahul Dev Garg; Gaurav Shukla; Hari Shanker Srivastava

Springer Verlag, Singapore
2020
sidottu
This book addresses the mapping of soil-landscape parameters in the geospatial domain. It begins by discussing the fundamental concepts, and then explains how machine learning and geomatics can be applied for more efficient mapping and to improve our understanding and management of ‘soil’. The judicious utilization of a piece of land is one of the biggest and most important current challenges, especially in light of the rapid global urbanization, which requires continuous monitoring of resource consumption. The book provides a clear overview of how machine learning can be used to analyze remote sensing data to monitor the key parameters, below, at, and above the surface. It not only offers insights into the approaches, but also allows readers to learn about the challenges and issues associated with the digital mapping of these parameters and to gain a better understanding of the selection of data to represent soil-landscape relationships as well as the complex and interconnected links between soil-landscape parameters under a range of soil and climatic conditions. Lastly, the book sheds light on using the network of satellite-based Earth observations to provide solutions toward smart farming and smart land management.
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Digital Mapping of Soil Landscape Parameters

Digital Mapping of Soil Landscape Parameters

Pradeep Kumar Garg; Rahul Dev Garg; Gaurav Shukla; Hari Shanker Srivastava

Springer Verlag, Singapore
2021
nidottu
This book addresses the mapping of soil-landscape parameters in the geospatial domain. It begins by discussing the fundamental concepts, and then explains how machine learning and geomatics can be applied for more efficient mapping and to improve our understanding and management of ‘soil’. The judicious utilization of a piece of land is one of the biggest and most important current challenges, especially in light of the rapid global urbanization, which requires continuous monitoring of resource consumption. The book provides a clear overview of how machine learning can be used to analyze remote sensing data to monitor the key parameters, below, at, and above the surface. It not only offers insights into the approaches, but also allows readers to learn about the challenges and issues associated with the digital mapping of these parameters and to gain a better understanding of the selection of data to represent soil-landscape relationships as well as the complex and interconnected links between soil-landscape parameters under a range of soil and climatic conditions. Lastly, the book sheds light on using the network of satellite-based Earth observations to provide solutions toward smart farming and smart land management.
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