Reprint

Sensors and Robotics for Digital Agriculture

Edited by
September 2023
246 pages
  • ISBN978-3-0365-8808-7 (Hardback)
  • ISBN978-3-0365-8809-4 (PDF)

This book is a reprint of the Special Issue Sensors and Robotics for Digital Agriculture that was published in

Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Summary

This reprint provides insight into the recent advances in systems and processes in the field of sensors and robotics and their applicability in agricultural environments within the concept of digitizing agriculture with the aim of maximizing the efficiency and sustainability of crop and livestock production. Special focus is given to the areas of artificial intelligence and machine learning for the development of applications and tools to support farmers and farm managers in making timely and informed decisions for both crop and livestock management. Unmanned aerial and ground systems are gaining popularity. In this reprint, emphasis is given to the application of autonomous systems and robotics in agriculture for the automated performance of different tasks such as field scouting, soil sampling and analysis, and crop harvesting, among others. The interaction between machines and humans in agricultural environments is also discussed.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
soft robotics; agriculture 4.0; soft grippers; end-effectors; review; harvesting process; machine learning; crop management; water management; soil management; livestock management; artificial intelligence; precision agriculture; precision livestock farming; precision agriculture; orchard mapping; deep learning; computer vision; semantic segmentation; orthomosaic; transformer; slot attention; explainable neural network; fusion rule; weed classification; weed identification key; precision agriculture; pig detection; pig tracking; convolutional neural network; Kalman filter; precision livestock farming; digital twin; digitalization; digital farming; farm management; smart farming; smart agriculture; depth cameras; 3D mapping; 3D point clouds; situation awareness; precision agriculture; cattle behaviour monitoring; feature selection; UGV; precision agriculture; artificial intelligence; soil nutrient analysis; soil sampling; human–robot synergy; collaborative robotics; communication frameworks; human-centered automation; agriculture 4.0; n/a