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Some Statistical Models For Crop Yield Forecasting
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Book Synopsis Some Statistical Models for Crop Yield Forecasting by : Yogesh Garde
Download or read book Some Statistical Models for Crop Yield Forecasting written by Yogesh Garde and published by LAP Lambert Academic Publishing. This book was released on 2012 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: Crop yield forecasting is an important aspect for a developing economy so that adequate planning exercise is undertaken for sustainable growth and overall development of the country. Weather fluctuations affect crop yield significantly during different stages of crop growing season, therefore several studies have been carried out to forecast crop yield using weather parameters. However, such forecast studies based on statistical models need to be done on continuing basis and for different agro-climatic zones, due to visible effects of changing environment conditions and weather shifts at different locations and areas. Therefore, present study was undertaken for forecasting yield of two major crops viz. rice and wheat based on time series data for 27 years (w.e.f.1981-82 to 2007-08) of yield and weather parameters obtained from G. B. Pant University of Agriculture and Technology, Pantnagar, District Udham Singh Nagar, Uttarakhand, India. This study reveals that stepwise Multiple Linear Regression techniques (MLR) can be successfully used for pre-harvest crop yield forecasting. This model was most consistent and can be apply on zone or state level
Book Synopsis Time Series and Spatial Analysis of Crop Yield by : Yared Assefa
Download or read book Time Series and Spatial Analysis of Crop Yield written by Yared Assefa and published by LAP Lambert Academic Publishing. This book was released on 2013 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Space and time are often vital components of research data sets. Accounting for and utilizing the space and time information in statistical models become beneficial when the response variable in question is proved to have a space and time dependence. This work focuses on the modeling and analysis of crop yield over space and time. Specifically, two different yield data sets were used. The first yield and environmental data set was collected across selected counties in Kansas from yield performance tests conducted for multiple years. The second yield data set was a survey data set collected by USDA across the US from 1900-2009. The objectives of our study were to investigate crop yield trends in space and time, quantify the variability in yield explained by genetics and space-time (environment) factors, and study how spatio-temporal information could be incorporated and also utilized in modeling and forecasting yield. Based on the format of these data sets, trend of irrigated and dryland crops was analyzed by employing time series statistical techniques. Some traditional linear regressions and smoothing techniques are first used to obtain the yield function. These models were then improved by incorporating time and space information either as explanatory variables or as auto- or cross- correlations adjusted in the residual covariance structures. In addition, a multivariate time series modeling approach was conducted to demonstrate how the space and time correlation information can be utilized to model and forecast yield and related variables. The conclusion from this research clearly emphasizes the importance of space and time components of data sets in research analysis. That is partly because they can often adjust (make up) for those underlying variables and factor effects that are not measured or not well understood.
Book Synopsis Prediction of Crop Yields Under a Changing Climate by : Godfrey Shem Juma
Download or read book Prediction of Crop Yields Under a Changing Climate written by Godfrey Shem Juma and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The impact of increasing climate variability on crop yield is now evident. Predicting the potential effects of climate change on crops prompts the use of statistical models to measure how the crop responds to climate variables. This chapter examines the usage of regression analysis in predicting crop yield under a changing climate. Data quality control is explained and application of descriptive statistics, correlation analysis and contingency tables discussed. Methodological aspects of crop yield modeling and prediction using climate variables are described. Estimation of yield via a multilinear regression approach is outlined and an overview of statistical model verification introduced. The study recommends the usage of regression models in estimating crop yield in consideration of many other externalities that can contribute to yield change.
Book Synopsis Contemporary Statistical Models for the Plant and Soil Sciences by : Oliver Schabenberger
Download or read book Contemporary Statistical Models for the Plant and Soil Sciences written by Oliver Schabenberger and published by CRC Press. This book was released on 2001-11-13 with total page 762 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite its many origins in agronomic problems, statistics today is often unrecognizable in this context. Numerous recent methodological approaches and advances originated in other subject-matter areas and agronomists frequently find it difficult to see their immediate relation to questions that their disciplines raise. On the other hand, statisticians often fail to recognize the riches of challenging data analytical problems contemporary plant and soil science provides. The first book to integrate modern statistics with crop, plant and soil science, Contemporary Statistical Models for the Plant and Soil Sciences bridges this gap. The breadth and depth of topics covered is unusual. Each of the main chapters could be a textbook in its own right on a particular class of data structures or models. The cogent presentation in one text allows research workers to apply modern statistical methods that otherwise are scattered across several specialized texts. The combination of theory and application orientation conveys ìwhyî a particular method works and ìhowî it is put in to practice. About the downloadable resources The accompanying downloadable resources are a key component of the book. For each of the main chapters additional sections of text are available that cover mathematical derivations, special topics, and supplementary applications. It supplies the data sets and SAS code for all applications and examples in the text, macros that the author developed, and SAS tutorials ranging from basic data manipulation to advanced programming techniques and publication quality graphics. Contemporary statistical models can not be appreciated to their full potential without a good understanding of theory. They also can not be applied to their full potential without the aid of statistical software. Contemporary Statistical Models for the Plant and Soil Science provides the essential mix of theory and applications of statistical methods pertinent to research in life sciences.
Book Synopsis Methods of Introducing System Models into Agricultural Research by : Lajpat R. Ahuja
Download or read book Methods of Introducing System Models into Agricultural Research written by Lajpat R. Ahuja and published by John Wiley & Sons. This book was released on 2020-01-22 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why model? Agricultural system models enhance and extend field research...to synthesize and examine experiment data and advance our knowledge faster, to extend current research in time to predict best management systems, and to prepare for climate-change effects on agriculture. The relevance of such models depends on their implementation. Methods of Introducing System Models into Agricultural Research is the ultimate handbook for field scientists and other model users in the proper methods of model use. Readers will learn parameter estimation, calibration, validation, and extension of experimental results to other weather conditions, soils, and climates. The proper methods are the key to realizing the great potential benefits of modeling an agricultural system. Experts cover the major models, with the synthesis of knowledge that is the hallmark of the Advances in Agricultural Systems Modeling series.
Book Synopsis Climate Change and Food Security by : David B. Lobell
Download or read book Climate Change and Food Security written by David B. Lobell and published by Springer Science & Business Media. This book was released on 2009-12-21 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Roughly a billion people around the world continue to live in state of chronic hunger and food insecurity. Unfortunately, efforts to improve their livelihoods must now unfold in the context of a rapidly changing climate, in which warming temperatures and changing rainfall regimes could threaten the basic productivity of the agricultural systems on which most of the world’s poor directly depend. But whether climate change represents a minor impediment or an existential threat to development is an area of substantial controversy, with different conclusions wrought from different methodologies and based on different data. This book aims to resolve some of the controversy by exploring and comparing the different methodologies and data that scientists use to understand climate’s effects on food security. In explains the nature of the climate threat, the ways in which crops and farmers might respond, and the potential role for public and private investment to help agriculture adapt to a warmer world. This broader understanding should prove useful to both scientists charged with quantifying climate threats, and policy-makers responsible for crucial decisions about how to respond. The book is especially suitable as a companion to an interdisciplinary undergraduate or graduate level class.
Book Synopsis Sampling Techniques for Measuring and Forecasting Crop Yields by : Harold F. Huddleston
Download or read book Sampling Techniques for Measuring and Forecasting Crop Yields written by Harold F. Huddleston and published by . This book was released on 1978 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extract: This manual assembles information on mathematical modeling concerning crop yields for domestic and foreign users of crop statistics. In providing technical assistance to countries in the collection of agricultural data, measuring crop yields is important for decisions affecting imports and exports, as well as recommending ways of improving crop techniques. Major emphasis is placed on forecasting of current-year yield per acre prior to harvest. This publication could serve as a basis for training courses as well as a reference manual for countries developing or modifying agricultural data systems. It is important to emphasize, however, that this manual is not expected to serve as a training module without an instructor or consultant experienced in crop sampling and yield modeling.
Book Synopsis Data and Models in Action by : A. Stein
Download or read book Data and Models in Action written by A. Stein and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Under leadership of CT de Wit a large amount of modeling, building prototypes and also application, was carried out in the 1970s and 1980s. Comprehensive models were built, evaluated and carefully documented in the areas of crop growth production, plant breeding, soil water and nutrients, and in crop protection. Simulation techniques and biophysical theories developed in parallel. Simulation and experimentation always went hand in hand. Much of this work is documented in a long series of PhD theses under supervision of De Wit, in the series of Simulation Monographs (PUDOC), and in numerous other publications. This work has inspired many scientists across the global science community. The CT de Wit Graduate School of Production Ecology (PE) of the Wageningen University builds further on this platform and finds new subjects for research on and with models, and data. The PE platform provides also an excellent opportunity to develop contacts, cooperation and joint software with research groups in related fields and abroad. This book precipitates from such an exploration in new directions. We realize that modem information systems and statistics can offer a substantial contribution to the modelling framework. Good examples can be found here, and these provide a clear direction for the years to come.
Book Synopsis Statistical Procedures for Agricultural Research by : Kwanchai A. Gomez
Download or read book Statistical Procedures for Agricultural Research written by Kwanchai A. Gomez and published by John Wiley & Sons. This book was released on 1984-02-17 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Agrometeorology by : Ram Swaroop Meena
Download or read book Agrometeorology written by Ram Swaroop Meena and published by BoD – Books on Demand. This book was released on 2021-05-19 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agrometeorology is a much-needed reference to the practice of merging the science of meteorology with the service of agriculture. Written in a concise, straightforward style, the book presents examples of clinical applications (methods, techniques, models, and services) in varying climates and agricultural systems, documenting up-to-date research literature from around the world. The information contained herein is useful for scientists and planners engaged in regional and land-use planning, soil and water conservation, risk analysis of climate hazards, harvest forecasts, and the ecological and economic implications of climate change.
Book Synopsis Emerging Research in Data Engineering Systems and Computer Communications by : P. Venkata Krishna
Download or read book Emerging Research in Data Engineering Systems and Computer Communications written by P. Venkata Krishna and published by Springer Nature. This book was released on 2020-02-10 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the 2nd International Conference on Computing, Communications and Data Engineering, held at Sri Padmavati Mahila Visvavidyalayam, Tirupati, India from 1 to 2 Feb 2019. Chiefly discussing major issues and challenges in data engineering systems and computer communications, the topics covered include wireless systems and IoT, machine learning, optimization, control, statistics, and social computing.
Book Synopsis Tutorials in Chemoinformatics by : Alexandre Varnek
Download or read book Tutorials in Chemoinformatics written by Alexandre Varnek and published by John Wiley & Sons. This book was released on 2017-06-22 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: 30 tutorials and more than 100 exercises in chemoinformatics, supported by online software and data sets Chemoinformatics is widely used in both academic and industrial chemical and biochemical research worldwide. Yet, until this unique guide, there were no books offering practical exercises in chemoinformatics methods. Tutorials in Chemoinformatics contains more than 100 exercises in 30 tutorials exploring key topics and methods in the field. It takes an applied approach to the subject with a strong emphasis on problem-solving and computational methodologies. Each tutorial is self-contained and contains exercises for students to work through using a variety of software packages. The majority of the tutorials are divided into three sections devoted to theoretical background, algorithm description and software applications, respectively, with the latter section providing step-by-step software instructions. Throughout, three types of software tools are used: in-house programs developed by the authors, open-source programs and commercial programs which are available for free or at a modest cost to academics. The in-house software and data sets are available on a dedicated companion website. Key topics and methods covered in Tutorials in Chemoinformatics include: Data curation and standardization Development and use of chemical databases Structure encoding by molecular descriptors, text strings and binary fingerprints The design of diverse and focused libraries Chemical data analysis and visualization Structure-property/activity modeling (QSAR/QSPR) Ensemble modeling approaches, including bagging, boosting, stacking and random subspaces 3D pharmacophores modeling and pharmacological profiling using shape analysis Protein-ligand docking Implementation of algorithms in a high-level programming language Tutorials in Chemoinformatics is an ideal supplementary text for advanced undergraduate and graduate courses in chemoinformatics, bioinformatics, computational chemistry, computational biology, medicinal chemistry and biochemistry. It is also a valuable working resource for medicinal chemists, academic researchers and industrial chemists looking to enhance their chemoinformatics skills.
Book Synopsis Working with Dynamic Crop Models by : Daniel Wallach
Download or read book Working with Dynamic Crop Models written by Daniel Wallach and published by Academic Press. This book was released on 2013-11-25 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition of Working with Dynamic Crop Models is meant for self-learning by researchers or for use in graduate level courses devoted to methods for working with dynamic models in crop, agricultural, and related sciences. Each chapter focuses on a particular topic and includes an introduction, a detailed explanation of the available methods, applications of the methods to one or two simple models that are followed throughout the book, real-life examples of the methods from literature, and finally a section detailing implementation of the methods using the R programming language. The consistent use of R makes this book immediately and directly applicable to scientists seeking to develop models quickly and effectively, and the selected examples ensure broad appeal to scientists in various disciplines. 50% new content – 100% reviewed and updated Clearly explains practical application of the methods presented, including R language examples Presents real-life examples of core crop modeling methods, and ones that are translatable to dynamic system models in other fields
Download or read book Crop Yield Forecasting Methods written by and published by Statistical Office of European Communities. This book was released on 1997 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Eurostat, the JRC-Ispra, DG VI and FAO jointly organized an expert consultation meeting on crop yield forecasting methods in Villefranche-sur-Mer, France, from 24 to 27 October 1994. These proceedings include the scientific papers which were presented during the conference, a synthesis of the round-table discussions and some additional presentations. These proceedings constitute an exhaustive review of the newest methods on crop yield forecasting.
Book Synopsis Generating Daily Weather Values by Computer Simulation Techniques for Crop Yield Forecasting Models by : Douglas C. Bond
Download or read book Generating Daily Weather Values by Computer Simulation Techniques for Crop Yield Forecasting Models written by Douglas C. Bond and published by . This book was released on 1979 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis BIGGINS PROGRESS PHOTOSYNTH RE, by : J. Biggins
Download or read book BIGGINS PROGRESS PHOTOSYNTH RE, written by J. Biggins and published by Springer. This book was released on 1987 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Essentials of Statistics In Agricultural Sciences by : Pradeep Mishra
Download or read book Essentials of Statistics In Agricultural Sciences written by Pradeep Mishra and published by CRC Press. This book was released on 2019-07-24 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: An understanding of the basics, logic, and theory of statistics is essential for agricultural researchers for dealing with the interpretation of data. This volume presents some of the basic and necessary concepts of statistical tools, specifically as applied to the statistics of agriculture and allied fields. It covers basic statistics, design of experiments, sampling techniques, time series, inference outlines, forecasting models, data handling, and statistical software in an easy-to-understand manner that is aimed at students and researchers with little or no mathematical background. In the agriculture scenario, students and researchers face problems that can be addressed with statistical tools, planning of field experiments, collection of data, analysis, interpretation of the data, etc. In this book, statistical theories are discussed with the help of examples from real-life situations in agriculture and allied fields, followed by worked-out examples. Each chapter is followed by a number of problems and questions that will help readers gain confidence in solving those problems. The volume also provides an analysis of how data is important and introduces the reader to using statistical software such as MS Excel, SAS (Statistical Analysis System), JMP, Minitab, and R (from the R Foundation for Statistical Computing).
