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.

Tallennettuna:

Bibliografiset tiedot
Aineistotyyppi:	Online
Kieli:	englanti
Julkaistu:	MDPI - Multidisciplinary Digital Publishing Institute 2021
Aiheet:	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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Linkit:	ONIX_20210501_9783039366880_700
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Smart Sensing Technologies for Agriculture

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