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Smart Sensing Technologies for Agriculture

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

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; X-ray fluorescence; spectroscopy; soil nutrients; proximal soil sensing; soil testing; laser-induced breakdown spectroscopy; LIBS; 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; yield estimation; machine vision; willow tree

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-03936-689-7

País de edición

Suiza