25 September, 2019

SS01 – Special Session on Contributions of Soft Computing to Precision Agriculture


Precision agriculture is a farm management approach focused on determining production inputs (pesticides, water, fertilizers, seed, feed, medicaments, food supplements …) according to current conditions, in order to increase profits and reduce pollution and waste. Hence, the main goal of precision agriculture is to provide the tools necessary to make the right decisions, at the right location, at the right time, and at the right intensity.

Soft Computing is a set of computing techniques, such as Fuzzy Logic, Machine Learning (incl. Neural Networks), or Evolutionary Computation. Mentioned computing techniques, in comparison to conventional methods, offer solutions to a large set of very complex problems, but these solutions are characterized by some “uncertainty” or “inexactness”. Despite their limitation, soft computing techniques have become common in recent years and are used in many areas of human activity. Agriculture is no exception. Therefore, the aim of this track is to compile the latest research and development, up-to-date issues, and challenges in the field of soft computing applications, in order to enhance precision agriculture..


Potential topics include but are not limited to the following:

  • Potential topics include but are not limited to the following:
  • Smart and Remote Sensing, Embedded sensing systems, Sensor Networks, Internet of Things
  • Robotics, Guidance, Automation
  • Applications of Unmanned Aerial Systems
  • Yield Estimation
  • Differential Harvest
  • Pasture Management
  • Decision Support for Precision Agriculture
  • Data Mining for Precision Agriculture
  • Software and Apps for Precision Agriculture

Session Chairs

  • Petr Dolezel , University of Pardubice (Czech Republic)
  • Daniel Honc, University of Pardubice (Czech Republic)
  • Bruno Baruque, University of Burgos (Spain)
  • Jan Mares,  University of Chemistry and Technology Prague (Czech Republic)
  • Pavel Skrabanek, Brno University of Technology (Czech Republic)


Prof. Petr Dolezel

University of Pardubice

Faculty of Electrical Engineering and Informatics

Studentska 95, 532 10 Pardubice, Czech Republic

e-mail: petr.dolezel@upce.cz