Type: Book

Smart farms Improving data-driven decision making in agriculture


Professor Claus Grøn Sørensen is Head of Research Unit in the Department of Electrical and Computer Engineering, Aarhus University. He is internationally renowned for his research in production and operations management, decision analysis, information modelling, system analysis, and simulation and modelling of technology applications in agriculture. He has participated in a number of EU research projects, such as Internet of Food and Farms 2020, FutureFarm and SmartAgriFood. He is the winner of the Recognition Award for service as President of EurAgEng (European Society of Agricultural Engineers), Merit Award for service as President of CIGR Section V and promoting cooperation with international organisations, and Outstanding Paper Award from the editors of Biosystems Engineering. He is currently serving in the executive committee of EurAgEng and as incoming President of CIGR. He also serves as a full member of the Club of Bologna and he is an iABBE fellow of the International Academy of Biosystems and Agricultural Engineering.



Publication date:

23 April 2024

Length of book:

238 pages

ISBN-13: 9781801463829

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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 agriculture provides 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.

What others are saying...

“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)

Table of contents

Part 1 General

  • 1.Trends in farm information management systems: Liisa Pesonen, Natural Resources Institute (LUKE), Finland;
  • 2.The role of digital technologies in achieving sustainable agriculture: Thiago L. Romanelli, André F. Colaço and João P. S. Veiga, University of São Paulo, Brazil;
  • 3.Key issues in incorporating proximal and remote sensor data into farm decision-making: Adélia M. O. Sousa, Universidade de Évora, MED, CHANGE, EarsLab, Portugal; José R. Marques da Silva, Universidade de Évora, MED, CHANGE, Agroinsider Lda, Portugal; João Serrano, Shakib Shahidian and Duarte Lobo da Silveira, Universidade de Évora, MED, CHANGE, Portugal; Manuela Simões, Universidade Nova de Lisboa, Portugal; Ana Cristina Gonçalves, Maria João P. Caldinhas and Vasco Fitas da Cruz, Universidade de Évora, MED, CHANGE, Portugal; Arilson J. de Oliveira Júnior and Silvia R. Lucas de Souza, São Paulo State University, Brazil; Diogo R. Coelho, Universidade de Évora, MED, Portugal; Patrícia Lourenço, Agroinsider Lda, Portugal; and Fátima F. Baptista, Universidade de Évora, MED, CHANGE, Portugal;
  • 4.Agri Semantics: developments to improve data interoperability to support farm information management and decision support systems in agriculture: Saba Noor, Jade Bokma and Bart Pardon, Ghent University, Belgium; Gerdien van Schaik, Utrecht University, The Netherlands; and Miel Hostens, Cornell University, USA;
  • 5.Using data mining techniques for decision support in agriculture: support vector machines: Wu Caicong, China Agricultural University, China;

Part 2 Case studies

  • 6.Developing decision support systems for irrigation/water management on farms: Fedro S. Zazueta, University of Florida, USA;
  • 7.Advances in crop disease forecasting models: Nathaniel Newlands, Summerland Research and Development Centre, Science and Technology Branch, Agriculture and Agri-Food Canada, Canada;
  • 8.Smart farming in extensive livestock production: the Australian experience: David W. Lamb, Food Agility Cooperative Research Centre/ Precision Agriculture Research Group - University of New England/ Gulbali Research Institute - Charles Sturt University, Australia;