Analytical Techniques for Decision Making in Agriculture - S. S. Raju
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The present book on "Analytical Techniques for Decision Making in Agriculture" is to focus on data analysis methods with sophisticated algorithms for processing large volumes of data which has opened up exciting opportunities for analyzing data in newer ways. This book will provide knowledge on various analytical techniques which the academicians can apply to data sets from their respective domains and present the model which can help in forecasting, prediction, classification or decision making. It is conceived with an idea to provide insight to the readers about the enormous potential of…mehr

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Produktbeschreibung
The present book on "Analytical Techniques for Decision Making in Agriculture" is to focus on data analysis methods with sophisticated algorithms for processing large volumes of data which has opened up exciting opportunities for analyzing data in newer ways. This book will provide knowledge on various analytical techniques which the academicians can apply to data sets from their respective domains and present the model which can help in forecasting, prediction, classification or decision making. It is conceived with an idea to provide insight to the readers about the enormous potential of analytical tools and to explore it in the area of agriculture. It aims to achieve the following objectives: 1. To improve understanding of the basic concepts and tools for socio-economic and agricultural data management and analysis for taking decisions in agriculture based on large data sets. 2. To sensitize and expose readers to various econometric methods and models for agricultural decision making. This book presents recent advances in methods for efficient data analysis, management, quantitative and analytical tools used in agricultural decision making. The book is a tool of information that will serve the readers to keep abreast of knowledge and techniques in this broad field. The book also is an inspiration for further theoretical and practical pursuits which will open up exciting opportunities for analyzing data in newer ways.
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