TY - GEN AU - Adamchuk,Viacheslav AU - Sudduth,Kenneth AU - Biswas,Asim AU - Adamchuk,Viacheslav AU - Sudduth,Kenneth AU - Biswas,Asim TI - Smart Sensing Technologies for Agriculture SN - books978-3-03936-689-7 PY - 2020/// CY - Basel, Switzerland PB - MDPI - Multidisciplinary Digital Publishing Institute KW - History of engineering & technology KW - bicssc KW - moisture measurement KW - Kalman filter KW - model predictive control KW - germination paper KW - convolutional neural networks KW - livestock KW - lying posture KW - standing posture KW - Three-dimensional mapping KW - quasi-3D inversion algorithm KW - cation exchange capacity KW - clay content KW - sandy infertile soil KW - optical micro-sensors KW - crop protection KW - precision agriculture KW - infrared spectroscopy KW - principal component analysis (PCA) KW - partial least squares (PLS) KW - droplet characterization KW - apparent electrical conductivity (ECa) KW - pH KW - UAV KW - boundary-line KW - quantile regression KW - law of minimum KW - on-site detection KW - ion-selective electrode (ISE) KW - soil nitrate nitrogen (NO3−-N) KW - soil moisture KW - sensor fusion KW - transfer learning KW - deep learning KW - body dimensions KW - point cloud KW - Kd-network KW - feature recognition KW - FFPH KW - non-contact measurement KW - X-ray fluorescence KW - spectroscopy KW - soil nutrients KW - proximal soil sensing KW - soil testing KW - laser-induced breakdown spectroscopy KW - LIBS KW - elemental composition KW - broiler surface temperature extraction KW - thermal image processing KW - head region locating KW - adaptive K-means KW - ellipse fitting KW - harvesting robot KW - gripper KW - segmentation KW - cutting point detection KW - soil KW - soil electrical resistivity KW - autonomous robot KW - real-time measurement KW - precision farming KW - mapping KW - precision weeding KW - multispectral imaging KW - kinetic stereo imaging KW - plant detection KW - yield estimation KW - machine vision KW - willow tree N1 - Open Access N2 - “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 UR - https://mdpi.com/books/pdfview/book/2722 UR - https://directory.doabooks.org/handle/20.500.12854/68954 ER -