Smart Sensing Technologies for Agriculture


English[eng]


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