Simulation and Systems Analysis in Agriculture

Simulation and Systems Analysis in Agriculture
Author :
Publisher :
Total Pages : 276
Release :
ISBN-10 : UOM:39015014227857
ISBN-13 :
Rating : 4/5 (57 Downloads)

Book Synopsis Simulation and Systems Analysis in Agriculture by : Csaba Csáki

Download or read book Simulation and Systems Analysis in Agriculture written by Csaba Csáki and published by . This book was released on 1985 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Simulation and Systems Analysis in Agriculture Related Books

Simulation and Systems Analysis in Agriculture
Language: en
Pages: 276
Authors: Csaba Csáki
Categories: Agricultural systems
Type: BOOK - Published: 1985 - Publisher:

DOWNLOAD EBOOK

Systems Analysis and Modeling in Food and Agriculture
Language: en
Pages: 488
Authors: K.C.Ting
Categories:
Type: BOOK - Published: 2009-02-12 - Publisher: EOLSS Publications

DOWNLOAD EBOOK

Systems Analysis and Modeling in Food and Agriculture is a component of Encyclopedia of Food and Agricultural Sciences, Engineering and Technology Resources in
Systems Simulation in Agriculture
Language: en
Pages: 227
Authors: J. B. Dent
Categories: Technology & Engineering
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

A fast-growing interest in the concepts and application of systems research has spawned a wide and general literature over the past decade. Most disciplinary ar
Computer Simulation Analysis of Biological and Agricultural Systems
Language: en
Pages: 862
Authors: Barney K. Huang
Categories: MATHEMATICS
Type: BOOK - Published: 1994 - Publisher:

DOWNLOAD EBOOK

Computer Simulation Analysis of Biological and Agricultural Systems focuses on the integration of mathematical models and the dynamic simulation essential to sy
Mathematical Modeling for System Analysis in Agricultural Research
Language: en
Pages: 453
Authors: K. Vohnout
Categories: Science
Type: BOOK - Published: 2003-03-27 - Publisher: Elsevier

DOWNLOAD EBOOK

This book provides a clear picture of the use of applied mathematics as a tool for improving the accuracy of agricultural research. For decades, statistics has