For those who develop or use knowledge-based agricultural systems, Plant and Stone start with the basic principles of rule-based expert systems, and then explain how these systems can be applied to the rule-based diagnosis of plant crop diseases, the linking of simulation models to expert systems to determine optimum planting dates, designing and testing pest management strategies using a hybrid simulation and rule-based irrigation scheduling, and model-based reasoning systems to diagnose plant stress. Annotation copyright Book News, Inc. Portland, Or.

Knowledge Based Systems in Agriculture (BIOLOGICAL RESOURCE MANAGEMENT)

Computers & Technology

Plant, Richard E.

Stone, Nicholas D.

Computer Science

McGraw=Hill

Spatial Data Analysis in Ecology and Agriculture Using R

Key features:\nUnique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R\nProvides exercises in each chapter to facilitate the book's use as a course textbook or for self-study\nAdds new material on generalized additive models, point pattern analysis, and new methods of Bayesian analysis of spatial data.\nIncludes a completely revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods\nUpdates its coverage of R software including newly introduced packages\nSpatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science. Readers have praised the book's practical coverage of spatial statistics, real-world examples, and user-friendly approach in presenting and explaining R code, aspects maintained in this update. Using data sets from cultivated and uncultivated ecosystems, the book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions.\nAdditional material to accompany the book, on both analyzing satellite data and on multivariate analysis, can be accessed at https://www.plantsciences.ucdavis.edu/plant/additionaltopics.htm.

Business & Money

Economics

CRC-Press

Key features: <ul>
<li>Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R</li> <li>Provides exercises in each chapter to facilitate the book's use as a course textbook or for self-study</li> <li>Adds new material on generalized additive models, point pattern analysis, and new methods of Bayesian analysis of spatial data.</li> <li>Includes a completely revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods</li> <li> Updates its coverage of R software including newly introduced packages
</li>
</ul> Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science. Readers have praised the book's practical coverage of spatial statistics, real-world examples, and user-friendly approach in presenting and explaining R code, aspects maintained in this update. Using data sets from cultivated and uncultivated ecosystems, the book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Additional material to accompany the book, on both analyzing satellite data and on multivariate analysis, can be accessed at https://www.plantsciences.ucdavis.edu/plant/additionaltopics.htm.

Plant, Richard

Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture. Written in terms of four data sets easily accessible online, this book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Based on the author’s spatial data analysis course at the University of California, Davis, the book is intended for classroom use or self-study by graduate students and researchers in ecology, geography, and agricultural science with an interest in the analysis of spatial data.

Science & Math

Biological Sciences

See the best price to sell, buy, or rent books by Plant, Richard E.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Plant, Richard E.

See the best price to sell, buy, or rent books by Plant, Richard E.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Knowledge Based Systems in Agriculture (BIOLOGICAL RESOURCE MANAGEMENT)

Spatial Data Analysis in Ecology and Agriculture Using R

Spatial Data Analysis in Ecology and Agriculture Using R

Spatial Data Analysis in Ecology and Agriculture Using R