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With the growing popularity and availability of precision equipment, farmers and producers have access to more data than ever before. With proper implementation, precision agriculture management can improve profitability and sustainability of production. Precision Agriculture Basics is geared at students, crop consultants, farmers, extension workers, and practitioners that are interested in practical applications of site-specific agricultural management. Using a multidisciplinary approach, readers are taught to make data-driven on-farm decisions using the most current knowledge and tools in crop science, agricultural engineering, and geostatistics. Precision Agriculture Basics also features a stunning video glossary including interviews with agronomists on the job and in the field.
This book provides a review of precision agriculture technology development, followed by a presentation of the state-of-the-art and future requirements of precision agriculture technology. It presents different styles of precision agriculture technologies suitable for large scale mechanized farming; highly automated community-based mechanized production; and fully mechanized farming practices commonly seen in emerging economic regions. The book emphasizes the introduction of core technical features of sensing, data processing and interpretation technologies, crop modeling and production control theory, intelligent machinery and field robots for precision agriculture production.
The american people have definitely decided that the public schools shall teach pupils to think and to do; that, so far as is consistent with a reasonably liberal culture, the training of the student shall relate intimately to the life he expects to lead. For a century and a halfagriculture has been regarded by a few of the foremost educators as worthy of a place in our public scools, but it is only whithin the last decade that the dream of these educators has approached realization. Agriculture, wherever well taught, has proved to be a source of strenght to the school, whether a one-teacher country shool, a high school, acollege, or a university.
The Art of Agriculture is the first English edition of Obra de Agricultura by Gabriel Alonso de Herrera, an agriculture instruction manual originally written in Granada, Spain, in 1513 and published there in 1539. Herrera, widely considered the Father of Modern Spanish Agriculture, wrote this treatise nearly five centuries ago, thoughtfully recounting traditional farming techniques of the Moors before their expulsion from Spain, the Spanish colonizers in the early 1600s, and the rural Indo-Hispano bioregion spanning northern New Mexico and southern Colorado. Today, farmers, gardeners, and ecological horticulturists are striving to work in harmony with nature, using traditional irrigation methods (involving acequias, sangras, and arroyos) to transform barren high-desert landscapes into fields supporting crop growth. This book speaks to today's farmers, no matter their size or output, in drought-ridden areas with land patterns characterized by natural ditches (acequias) and community water distribution systems (suertes). This type of agriculture exists not only in the American Southwest but from the Philippines to India to the Middle East. With global warming, water usage, and increased populations today, this book is more pertinent now than ever. Practical as well as philosophical, The Art of Agriculture will fascinate anyone interested in organic farming, sustainable agriculture, and permaculture worldwide.
Looks at partnerships between local small farms and nearby consumers, who become members or subscribers in support of the farm, offering advice on acquiring land, organizing, handling the harvest, and money and legal matters.
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).
A engaging analysis of food production in the United States emphasizing that sustainable agricultural development is important to community health.