Agro-Informatics / G.Vanitha & M.Kalpana.Material type: TextLanguage: English Publication details: New Delhi : New India Publishing Agency (NIPA), 2011.Description: xiii, 242p. : figs., tabls., ill. ; 25 cmISBN:
- 23 630 VAN
|Item type||Current library||Collection||Call number||Status||Date due||Barcode|
|General Books||CUTN Central Library Medicine, Technology & Management||Non-fiction||630 VAN (Browse shelf(Opens below))||Available||44418|
01. Introduction to Agroinformatics 02. Agriculture Information System 03. Farm Management System 04. Management Information System 05. Geographic Information System 06. Artificial Intelligence 07. Artificial Neural Networks 08. Expert Systems 09. Decision Support System (DSS) 10. Genetic Algorithms 11. Programming Language - Visual Basic 12. Database Management System 13 . Agricultural Databases, Technical Report and Conference Reports 14. Web Portal 15. Introduction to Bioinformatics
Agro-informatics is the application in agriculture with innovative ideas, techniques and scientific knowledge to expand the horizons of the Computer Science. The book contains the details about the information technology applied to management and analysis of agricultural data The book covers the diverse areas ranging from artificial intelligence, artificial neural networks, decision support system, expert system, geographic information system, information system related to agriculture, genetic algorithm, programming language with backend tool to develop softwares The book contains fifteen s that highlight and discuss the various dimensions of agro-informatics. It is hoped that the book will provide the basic and fundamental knowledge of understanding the concepts of Bioinformatics. This book is prepared, taking into consideration the changing needs of the undergraduate curricula of various universities involved in offering courses on agro-informatics The book will also be a guide for the researchers The book would also provide the required computer knowledge to the students of State Agricultural Universities and other ICAR Institutions to sharpen their understanding of agro-informatics.