Smart farms: Improving data-driven decision making in agriculture [Hardcover]

• Provides a detailed overview of the recent trends in farm information management systems, including their evolution and role in improving farmer decision making
• Considers the range of data mining techniques used in decision support systems, such as artificial neural networks and support vector machines
• Includes a selection of case studies which explore the use of decision support systems in optimising farm management and productivity

The agricultural sector remains under increasing pressure to reduce its environmental impact and consequent contribution to climate change, whilst also producing enough food to feed a rapidly growing population.With the variety and volume of data, coupled with the advanced methods for data processing, a new era of digital agriculture is emerging as a possible solution to this monumental challenge.

Smart farms: improving data-driven decision making in agricultureprovides a comprehensive review of the recent advances in gathering and analysing data as a means of improving farm sustainability, productivity and profitability. The book discusses the evolution of farm information management systems, highlighting current trends and challenges, as well as methods of data acquisition and analysis, including the use of artificial intelligence.

This collection reviews recent advances in processing and analysing data to provide actionable outcomes for farmers to be able to achieve a more sustainable agriculture and reduce the sectors contribution to climate change.

Although digital agriculture is gaining momentum with the advent of smart tools and intelligent farm equipment, the application of artificial intelligence to agriculture strongly relies on the quality and quantity of data acquired from the crops. In this new book, Professor S?rensen has focused on a key point for a successful digitization of the farm; the practical execution of data-driven solutions, and to doló!