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Book
Smart Sensing Technologies for Agriculture
Authors: --- ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

“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.

Keywords

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


Book
Smart Sensing Technologies for Agriculture
Authors: --- ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

“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.

Keywords

History of engineering & technology --- 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 --- 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


Book
Breastfeeding and human lactation
Authors: ---
ISBN: 3038979317 3038979309 Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Human lactation has evolved to produce a milk composition that is uniquely-designed for the human infant. Not only does human milk optimize infant growth and development, it also provides protection from infection and disease. More recently, the importance of human milk and breastfeeding in the programming of infant health has risen to the fore. Anchoring of infant feeding in the developmental origins of health and disease has led to a resurgence of research focused in this area. Milk composition is highly variable both between and within mothers. Indeed the distinct maternal human milk signature, including its own microbiome, is influenced by environmental factors, such as diet, health, body composition and geographic residence. An understanding of these changes will lead to unravelling the adaptation of milk to the environment and its impact on the infant. In terms of the promotion of breastfeeding, health economics and epidemiology is instrumental in shaping public health policy and identifying barriers to breastfeeding. Further, basic research is imperative in order to design evidence-based interventions to improve both breastfeeding duration and women’s breastfeeding experience.

Keywords

Cambodia --- milk metabolomics --- galactogogues --- adequate intake --- postnatal outcomes --- cytomegalovirus --- midwifery --- milk synthesis --- chromatography --- protein --- lactoferrin --- human lactation --- ultrasound skinfolds --- breastfed infants --- knowledge --- pregnancy --- casein --- SEA --- maternal factors --- ethnicity --- post-partum distress --- bottle --- composition --- feeding --- co-sleeping --- passive immunity --- glycerophosphocholine --- anthropometrics --- antimicrobial proteins --- professional support --- mothers of preterm infants --- responsive feeding --- lactating women --- peptidomics --- triiodothyronine --- preterm --- mother–infant physical contact --- expressing --- preterm infant --- appetite regulation --- justification of supplementation --- body composition --- zinc supplementation --- antibodies --- antisecretory factor --- proteolysis --- enteral nutrition --- Ecuador --- growth factors --- maternal responsiveness --- maternal wellbeing --- nipple shield --- microbiome --- maternal distress --- sodium --- thyroid --- maternal diet --- thyroxine --- IgA --- caesarean section --- raw breast milk --- colostrum --- fatty acids --- breast milk --- immune cells --- metabolites --- PEA --- premature --- mode of delivery --- endocannabinoids --- lipids --- practice --- fat synthesis --- attitudes --- feeding cues --- infant --- Docosahexaenoic acid --- Arachidonic acid --- GDM --- milk-acquired infections --- zinc deficiency --- ICP-OES --- social support --- infants --- omega-6 fatty acids --- infant health --- HGF --- omega-3 fatty acids --- OEA --- leptin --- milk metabolites --- Canada --- mother–infant interaction --- NMR spectroscopy --- lipidomics --- infection --- breastfeeding support --- prematurity --- phosphocholine --- immunity --- Quito --- sex-specificity --- choline --- paternal role --- inflammation --- docosahexaenoic acid --- partner support --- proximal care --- thyroid antibodies --- adipokines --- calculated daily intakes --- candida --- proton nuclear magnetic resonance --- N-acylethanolamines --- milk intake --- whey --- bioelectrical impedance spectroscopy --- breastfeeding --- n-6 and n-3 polyunsaturated fatty acid --- babywearing --- milk composition --- breastmilk --- obesity --- lactation --- infant growth --- formula supplementation --- early life nutrition --- adiponectin --- milk cells --- potassium --- human milk --- long-chain polyunsaturated fatty acids --- Andean region --- Ireland --- mass spectrometry --- geographical location --- diet --- dietary recommendations --- TGF-? --- ion selective electrode --- plasma zinc --- barriers --- infant feeding --- human milk composition --- Breastfeeding


Book
Smart Sensing Technologies for Agriculture
Authors: --- ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

“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.

Keywords

History of engineering & technology --- 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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