Contributed articles; with reference to India.

Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in MATLAB®.

Agriculture, forestry and fi shery statistics provides a selection of recent, topical data. Information is presented for the European Union (EU) and its Member States, and is supplemented (when available) with data for the United Kingdom, EFTA members, candidate countries to the EU and potential candidates. This publication aims to cover some of the most popular data within the domain of agriculture, forestry and fi shery statistics as well as some of the wider food chain. It may be viewed as an introduction to European statistics in this area and provides a starting point for those who wish to explore the broad range of data that are freely available on Eurostat's website.

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.