Type: Chapter
Aarhus University
Natural Resources Institute (LUKE)
University of Sao Paulo
Universidade de Évora, MED, CHANGE, EarsLab
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 sector’s 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 Sørensen has focused on a key point for a successful digitization of the farm; the practical execution of data-driven solutions, and to do so, he has brought together an outstanding team of recognized agricultural scientists and engineers. This collection will be valuable to agricultural researchers, industry developers, farm practitioners, students, and many other professionals committed to push the agriculture of the 21st Century into a sustainable activity.” (Francisco Rovira-Más, Professor of Digital Agriculture, Universitat Politècnica de València, Spain)
Part 1 General
Part 2 Case studies