Reprint

Image Processing in Agriculture and Forestry

Edited by
July 2018
222 pages
  • ISBN978-3-03897-097-2 (Paperback)
  • ISBN978-3-03897-098-9 (PDF)

This book is a reprint of the Special Issue Image Processing in Agriculture and Forestry that was published in

Computer Science & Mathematics
Engineering
Physical Sciences
Format
  • Paperback
License
© 2018 by the authors; CC BY-NC-ND license
Keywords
Assateague Island; Hurricane Sandy; change detection; Landsat 8; object-based classification; vision-based navigation; infield navigation; steering control; plant camera; SAR; MaxEnt; random forests; estimation error; forest; biomass; carbon; image analysis; stalk thickness; K-means; minimum distance; deep learning; obstacle detection; autonomous; ISO; biophysical variables; orchards; vegetation indices; view angle sensitivity; mangrove; above ground biomass; leaf area index; WorldView-2; partial least squares regression; 3D images; multiple view reconstruction; metric reconstruction; plant reconstruction; machine vision; stereo vision; machine-vision; spectral bands; imaging sensors; optical systems; geometric arrangement; 3D/2D mapping; crop rows detection; weed control; guidance; obstacle detection; soil; structure; mobile phone; visual soil assessment; blossoms; digital image processing; machine vision; peaches; unmanned aerial system; ANN; back propagation neural network (BPNN); image analysis; machine learning; precision horticulture; sustainability