Reprint
Smart Sensing Technologies for Agriculture
Edited by
August 2020
232 pages
- ISBN978-3-03936-688-0 (Hardback)
- ISBN978-3-03936-689-7 (PDF)
This book is a reprint of the Special Issue Smart Sensing Technologies for Agriculture that was published in
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Summary
“Smart Sensing Technologies for Agriculture” is a Special Issue of Sensors that includes 14 research papers on diverse topics about the measurement of physical, chemical, and biological characteristics of soil, plants, and animals related to modern farming practices.
Format
- Hardback
License
© 2020 by the authors; CC BY-NC-ND license
Keywords
moisture measurement; Kalman filter; model predictive control; germination paper; convolutional neural networks; livestock; lying posture; standing posture; Three-dimensional mapping; quasi-3D inversion algorithm; cation exchange capacity; clay content; sandy infertile soil; optical micro-sensors; crop protection; precision agriculture; infrared spectroscopy; principal component analysis (PCA); partial least squares (PLS); droplet characterization; apparent electrical conductivity (ECa); pH; UAV; boundary-line; quantile regression; law of minimum; on-site detection; ion-selective electrode (ISE); soil nitrate nitrogen (NO3−-N); soil moisture; sensor fusion; transfer learning; deep learning; body dimensions; point cloud; Kd-network; feature recognition; FFPH; non-contact measurement; precision agriculture; X-ray fluorescence; spectroscopy; soil nutrients; proximal soil sensing; soil testing; laser-induced breakdown spectroscopy; LIBS; proximal soil sensing; soil nutrients; elemental composition; broiler surface temperature extraction; thermal image processing; head region locating; adaptive K-means; ellipse fitting; harvesting robot; gripper; segmentation; cutting point detection; soil; soil electrical resistivity; autonomous robot; real-time measurement; precision farming; mapping; precision weeding; multispectral imaging; kinetic stereo imaging; plant detection; precision agriculture; yield estimation; machine vision; willow tree