Agricultural Survey Methods

Agricultural Survey Methods
Author: Roberto Benedetti
Publisher: John Wiley & Sons
Total Pages: 434
Release: 2010-03-18
Genre: Mathematics
ISBN: 9780470665466

Due to the widespread use of surveys in agricultural resources estimation there is a broad and recognizable interest in methods and techniques to collect and process agricultural data. This book brings together the knowledge of academics and experts to increase the dissemination of the latest developments in agricultural statistics. Conducting a census, setting up frames and registers and using administrative data for statistical purposes are covered and issues arising from sample design and estimation, use of remote sensing, management of data quality and dissemination and analysis of survey data are explored. Key features: Brings together high quality research on agricultural statistics from experts in this field. Provides a thorough and much needed overview of developments within agricultural statistics. Contains summaries for each chapter, providing a valuable reference framework for those new to the field. Based upon a selection of key methodological papers presented at the ICAS conference series, updated and expanded to address current issues. Covers traditional statistical methodologies including sampling and weighting. This book provides a much needed guide to conducting surveys of land use and to the latest developments in agricultural statistics. Statisticians interested in agricultural statistics, agricultural statisticians in national statistics offices and statisticians and researchers using survey methodology will benefit from this book.

Statistical Procedures for Agricultural Research

Statistical Procedures for Agricultural Research
Author: Kwanchai A. Gomez
Publisher: John Wiley & Sons
Total Pages: 698
Release: 1984-02-17
Genre: Technology & Engineering
ISBN: 9780471870920

Here in one easy-to-understand volume are the statistical procedures and techniques the agricultural researcher needs to know in order to design, implement, analyze, and interpret the results of most experiments with crops. Designed specifically for the non-statistician, this valuable guide focuses on the practical problems of the field researcher. Throughout, it emphasizes the use of statistics as a tool of research—one that will help pinpoint research problems and select remedial measures. Whenever possible, mathematical formulations and statistical jargon are avoided. Originally published by the International Rice Research Institute, this widely respected guide has been totally updated and much expanded in this Second Edition. It now features new chapters on the analysis of multi-observation data and experiments conducted over time and space. Also included is a chapter on experiments in farmers' fields, a subject of major concern in developing countries where agricultural research is commonly conducted outside experiment stations. Statistical Procedures for Agricultural Research, Second Edition will prove equally useful to students and professional researchers in all agricultural and biological disciplines. A wealth of examples of actual experiments help readers to choose the statistical method best suited for their needs, and enable even the most complicated procedures to be easily understood and directly applied. An International Rice Research Institute Book

Sampling Methods for Agricultural Surveys

Sampling Methods for Agricultural Surveys
Author: Food and Agriculture Organization of the United Nations
Publisher: Conran Octopus
Total Pages: 284
Release: 1989
Genre: Technology & Engineering
ISBN:

Applied Statistics in Agricultural, Biological, and Environmental Sciences

Applied Statistics in Agricultural, Biological, and Environmental Sciences
Author: Barry Glaz
Publisher: John Wiley & Sons
Total Pages: 672
Release: 2020-01-22
Genre: Technology & Engineering
ISBN: 0891183590

Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.

Spatial Econometric Methods in Agricultural Economics Using R

Spatial Econometric Methods in Agricultural Economics Using R
Author: Paolo Postiglione
Publisher: CRC Press
Total Pages: 287
Release: 2021-12-22
Genre: Technology & Engineering
ISBN: 1498766838

Modern tools, such as GIS and remote sensing, are increasingly used in the monitoring of agricultural resources. The developments in GIS technology offer growing opportunities to agricultural economics analysts dealing with large and detailed spatial databases, allowing them to combine spatial information from different sources and to produce different models. The availability of these valuable sources of information makes the advanced models suggested in the spatial statistic and econometric literature applicable to agricultural economics. This book aims at supporting stakeholders to design spatial surveys for agricultural data and/or to analyse the geographically collected data. This book attempts to describe the main typology of agricultural data and the most appropriate methods for the analysis, together with a detailed description of the available data sources and their collection methods. Topics such as spatial interpolation, point patterns, spatial autocorrelation, survey data analysis, small area estimation, regional data modelling, and spatial econometrics techniques are covered jointly with issues arising from the integration of several data types. The theory of spatial methods is complemented by real and/or simulated examples implemented through the open-source software R.

Data to Knowledge

Data to Knowledge
Author: Tofael Ahamed
Publisher:
Total Pages: 0
Release: 2017
Genre: Agriculture
ISBN: 9781536123944

This book provides a sound understanding for creating new knowledge, which takes three main forms: Exploratory research, which structures and identifies new problems; constructive research, which develops solutions to a problem; and empirical research, which tests the feasibility of a solution using empirical evidence. This book encompasses both qualitative and quantitative research and analysis. The reader should gain an understanding of the skills needed to design and undertake a research project, including legal and ethical requirements in planning research projects, choosing the best experimental design and analytical methods, and how to present data for extension to the wider community and establish the knowledge. Hands-on exercises are provided to improve reasoning skills, emphasising agricultural problems and issues to solve and interpret the experimental data to knowledge. The book covers research methods within these three forms with basic knowledge of research methodology. Design of experiments and significant results are interpreted through the scientific organisation and information in each of the chapters. The inherent discussion should help interdisciplinary graduate students and researchers accomplish their scientific experiments and write research articles. The cognitive writing style to interpret the observed data from experiments and surveys is emphasised in this book. The cognitive summary for each of the chapters is provided in the form of wording and graphics to focus on the chapter highlights as well as the use of analytical tools in the research. The utmost care is taken to present a varied range of research problems along with their solutions in agriculture and its allied fields, which should be of immense use to the readers interested in this topic.

Research Methodology: A Guide for Researchers In Agricultural Science, Social Science and Other Related Fields

Research Methodology: A Guide for Researchers In Agricultural Science, Social Science and Other Related Fields
Author: Pradip Kumar Sahu
Publisher: Springer Science & Business Media
Total Pages: 439
Release: 2013-04-04
Genre: Technology & Engineering
ISBN: 8132210204

This book is the outcome of more than 20 years of experience of the author in teaching and research field. The wider scope and coverage of the book will help not only the students/ researchers/professionals in the field of agriculture and allied disciplines, but also the researchers and practitioners in other fields. Written in simple and lucid language, the book would appeal to all those who are meant to be benefitted out of it. All efforts have been made to present "RESEARCH", its meaning, intention and usefulness. The book reflects current methodological techniques used in interdisciplinary research, as illustrated with many relevant worked out examples. Designing of research programme, selection of variables, collection of data and their analysis to interpret the data are discussed extensively. Statistical tools are complemented with real-life examples, making the otherwise complicated subject like statistics seem simpler. Attempts have been made to demonstrate how a user can solve the problems using simple computer-oriented programme. Emphasis is placed not only on solving the problems in various fields but also on drawing inferences from the problems. The importance of instruments and computers in research processes and statistical analyses along with their misuse/incorrect use is also discussed to make the user aware about the correct use of specific technique. In all the chapters, theories are combined with examples, and steps are enumerated to follow the correct use of the available packages like MSEXCELL, SPSS, SPAR1, SAS etc. Utmost care has been taken to present varied range of research problems along with their solutions in agriculture and allied fields which would be of immense use to readers.

Sampling Spatial Units for Agricultural Surveys

Sampling Spatial Units for Agricultural Surveys
Author: Roberto Benedetti
Publisher: Springer
Total Pages: 340
Release: 2015-03-20
Genre: Business & Economics
ISBN: 3662460084

The research and its outcomes presented here focus on spatial sampling of agricultural resources. The authors introduce sampling designs and methods for producing accurate estimates of crop production for harvests across different regions and countries. With the help of real and simulated examples performed with the open-source software R, readers will learn about the different phases of spatial data collection. The agricultural data analyzed in this book help policymakers and market stakeholders to monitor the production of agricultural goods and its effects on environment and food safety.

Introduction to Survey Quality

Introduction to Survey Quality
Author: Paul P. Biemer
Publisher: John Wiley & Sons
Total Pages: 420
Release: 2003-05-27
Genre: Mathematics
ISBN: 0471458724

Peruse the history of survey research and the essential conceptsfor data quality. With an emphasis on total survey error, theauthors review principles and concepts in the field and examineimportant unresolved issues in survey methods. Spanning a range oftopics dealing with the quality of data collected through thesurvey process, they focus on such key issues as: * Major sources of survey error, examining the origins of eacherror source most successful methods for reducing errors from thosesources * Methods most often used in practice for evaluating the effectsof the source on total survey error * Implications of improving survey quality for organizationalmanagement and costs