Smart Sensing Technologies for Agriculture

Smart Sensing Technologies for Agriculture

"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.

Bibliographic Details
Format:	eBook
Language:	English
Published:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:	History of engineering and technology adaptive K-means apparent electrical conductivity (ECa) autonomous robot body dimensions boundary-line broiler surface temperature extraction cation exchange capacity clay content convolutional neural networks crop protection cutting point detection deep learning droplet characterization elemental composition ellipse fitting feature recognition FFPH germination paper gripper harvesting robot head region locating infrared spectroscopy ion-selective electrode (ISE) Kalman filter Kd-network kinetic stereo imaging laser-induced breakdown spectroscopy law of minimum LIBS livestock lying posture machine vision mapping model predictive control moisture measurement multispectral imaging non-contact measurement on-site detection optical micro-sensors partial least squares (PLS) pH plant detection point cloud precision agriculture precision farming precision weeding principal component analysis (PCA) proximal soil sensing quantile regression quasi-3D inversion algorithm real-time measurement sandy infertile soil segmentation sensor fusion soil soil electrical resistivity soil moisture soil nitrate nitrogen (NO3−-N) soil nutrients soil testing spectroscopy standing posture thermal image processing Three-dimensional mapping transfer learning UAV willow tree X-ray fluorescence yield estimation
Online Access:	Open Access: DOAB: description of the publication Open Access: DOAB, download the publication

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