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Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. They are increasingly being used to obtain information of interest from the crops, the soil and the environment. It includes different types of capturing devices: from satellites and drones, to in-field devices; different types of spectral information, from visible RGB images, to multispectral images; different types of applications; and different types of techniques in the areas of image processing, computer vision, pattern recognition and machine learning. This book covers all these aspects, through a series of chapters that describe specific recent applications of these techniques in interesting problems of agricultural engineering.
History of engineering & technology --- SVM --- budding rate --- UAV --- geometric consistency --- radiometric consistency --- point clouds --- ICP --- reflectance maps --- vegetation indices --- Parrot Sequoia --- artificial intelligence --- precision agriculture --- agricultural robot --- optimization algorithm --- online operation --- segmentation --- coffee leaf rust --- machine learning --- deep learning --- remote sensing --- Fourth Industrial Revolution --- Agriculture 4.0 --- failure strain --- sandstone --- digital image correlation --- Hill-Tsai failure criterion --- finite element method --- reference evapotranspiration --- moisture sensors --- machine learning regression --- frequency-domain reflectometry --- randomizable filtered classifier --- convolutional neural network --- U-Net --- land use --- banana plantation --- Panama TR4 --- aerial photography --- remote images --- systematic mapping study --- agriculture --- applications --- total leaf area --- mixed pixels --- Cabernet Sauvignon --- NDVI --- Normalized Difference Vegetation Index --- precision viticulture --- 3D model --- spatial vision --- fertirrigation --- teaching-learning --- spectrometry --- Sentinel-2 --- pasture quality index --- normalized difference vegetation index --- normalized difference water index --- supplementation --- decision making --- digital agriculture --- grape yield estimate --- berries counting --- Dilated CNN --- machine learning algorithms --- classification performance --- winter wheat mapping --- large-scale --- water stress --- Prunus avium L. --- stem water potential --- low-cost thermography --- thermal indexes --- canopy temperature --- non-water-stressed baselines --- non-transpiration baseline --- soil moisture --- andosols --- image processing --- greenhouse --- automatic tomato harvesting --- SVM --- budding rate --- UAV --- geometric consistency --- radiometric consistency --- point clouds --- ICP --- reflectance maps --- vegetation indices --- Parrot Sequoia --- artificial intelligence --- precision agriculture --- agricultural robot --- optimization algorithm --- online operation --- segmentation --- coffee leaf rust --- machine learning --- deep learning --- remote sensing --- Fourth Industrial Revolution --- Agriculture 4.0 --- failure strain --- sandstone --- digital image correlation --- Hill-Tsai failure criterion --- finite element method --- reference evapotranspiration --- moisture sensors --- machine learning regression --- frequency-domain reflectometry --- randomizable filtered classifier --- convolutional neural network --- U-Net --- land use --- banana plantation --- Panama TR4 --- aerial photography --- remote images --- systematic mapping study --- agriculture --- applications --- total leaf area --- mixed pixels --- Cabernet Sauvignon --- NDVI --- Normalized Difference Vegetation Index --- precision viticulture --- 3D model --- spatial vision --- fertirrigation --- teaching-learning --- spectrometry --- Sentinel-2 --- pasture quality index --- normalized difference vegetation index --- normalized difference water index --- supplementation --- decision making --- digital agriculture --- grape yield estimate --- berries counting --- Dilated CNN --- machine learning algorithms --- classification performance --- winter wheat mapping --- large-scale --- water stress --- Prunus avium L. --- stem water potential --- low-cost thermography --- thermal indexes --- canopy temperature --- non-water-stressed baselines --- non-transpiration baseline --- soil moisture --- andosols --- image processing --- greenhouse --- automatic tomato harvesting
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Electrical power systems are complex networks that include a set of electrical components that allow distributing the electricity generated in the conventional and renewable power plants to distribution systems so it can be received by final consumers (businesses and homes). In practice, power system management requires solving different design, operation, and control problems. Bearing in mind that computers are used to solve these complex optimization problems, this book includes some recent contributions to this field that cover a large variety of problems. More specifically, the book includes contributions about topics such as controllers for the frequency response of microgrids, post-contingency overflow analysis, line overloads after line and generation contingences, power quality disturbances, earthing system touch voltages, security-constrained optimal power flow, voltage regulation planning, intermittent generation in power systems, location of partial discharge source in gas-insulated switchgear, electric vehicle charging stations, optimal power flow with photovoltaic generation, hydroelectric plant location selection, cold-thermal-electric integrated energy systems, high-efficiency resonant devices for microwave power generation, security-constrained unit commitment, and economic dispatch problems.
History of engineering & technology --- electricity markets --- economic dispatch --- optimization --- maximum capacity --- online operation --- power system --- unit commitment --- circuit breaker --- network modeling --- optimal power flow --- wind and solar energies --- gas insulated switchgear --- partial discharges --- electromagnetic wave propagation --- UHF measurement --- Security-Constraint Unit Commitment --- sensitivity factors --- user cuts --- power line communication (PLC) --- energy storage management --- vehicle to grid (V2G) --- smart grid --- multi-objective optimization --- population-based intelligent optimization algorithm --- multi-behavior combination --- algorithm framework --- Economic load dispatch (ELD) --- dragonfly algorithm --- metaheuristic --- particle swarm optimization --- cold-thermal-electricity integrated energy system --- multi-energy complementation --- feasible interval of load rate --- multi-objective --- multi time scales --- optimize operation --- earthing --- earthing system --- optimisation --- Ansys Maxwell --- sensitivity analysis --- touch voltage --- non-linear programming --- security-constrained OPF --- preventive control --- corrective control --- post-contingency overflow --- transmission line --- thermal inertia --- Three-phase optimal power flow --- voltage regulation --- distributed generation --- distribution transformer taps --- linear OPF problem --- shift-factors --- line outage distribution factors --- security-constrained --- corrective formulation --- preventive formulation --- klystron --- IOT --- resotrode --- efficiency --- microwave --- bunching --- computer simulation --- global optimization --- power quality disturbances --- classification --- feature selection --- swarm optimization --- support vector machine --- genetic algorithm --- K-NN algorithm --- decision tree --- S-transform --- optimization techniques --- hydroelectric --- renewable energy --- MCDM --- fuzzy theory --- FANP --- TOPSIS --- quadratically constrained quadratic programming --- contingency constrained optimal power flow --- isolated hybrid microgrid system (IHμGS) --- solar tower (ST) --- biodiesel power generator (BDPG) --- frequency regulation --- butterfly optimization technique (BOA) --- microgrid energy management --- electric vehicle --- microgrid --- energy efficiency
Choose an application
Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. They are increasingly being used to obtain information of interest from the crops, the soil and the environment. It includes different types of capturing devices: from satellites and drones, to in-field devices; different types of spectral information, from visible RGB images, to multispectral images; different types of applications; and different types of techniques in the areas of image processing, computer vision, pattern recognition and machine learning. This book covers all these aspects, through a series of chapters that describe specific recent applications of these techniques in interesting problems of agricultural engineering.
History of engineering & technology --- SVM --- budding rate --- UAV --- geometric consistency --- radiometric consistency --- point clouds --- ICP --- reflectance maps --- vegetation indices --- Parrot Sequoia --- artificial intelligence --- precision agriculture --- agricultural robot --- optimization algorithm --- online operation --- segmentation --- coffee leaf rust --- machine learning --- deep learning --- remote sensing --- Fourth Industrial Revolution --- Agriculture 4.0 --- failure strain --- sandstone --- digital image correlation --- Hill–Tsai failure criterion --- finite element method --- reference evapotranspiration --- moisture sensors --- machine learning regression --- frequency-domain reflectometry --- randomizable filtered classifier --- convolutional neural network --- U-Net --- land use --- banana plantation --- Panama TR4 --- aerial photography --- remote images --- systematic mapping study --- agriculture --- applications --- total leaf area --- mixed pixels --- Cabernet Sauvignon --- NDVI --- Normalized Difference Vegetation Index --- precision viticulture --- 3D model --- spatial vision --- fertirrigation --- teaching–learning --- spectrometry --- Sentinel-2 --- pasture quality index --- normalized difference vegetation index --- normalized difference water index --- supplementation --- decision making --- digital agriculture --- grape yield estimate --- berries counting --- Dilated CNN --- machine learning algorithms --- classification performance --- winter wheat mapping --- large-scale --- water stress --- Prunus avium L. --- stem water potential --- low-cost thermography --- thermal indexes --- canopy temperature --- non-water-stressed baselines --- non-transpiration baseline --- soil moisture --- andosols --- image processing --- greenhouse --- automatic tomato harvesting --- n/a --- Hill-Tsai failure criterion --- teaching-learning
Choose an application
Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. They are increasingly being used to obtain information of interest from the crops, the soil and the environment. It includes different types of capturing devices: from satellites and drones, to in-field devices; different types of spectral information, from visible RGB images, to multispectral images; different types of applications; and different types of techniques in the areas of image processing, computer vision, pattern recognition and machine learning. This book covers all these aspects, through a series of chapters that describe specific recent applications of these techniques in interesting problems of agricultural engineering.
SVM --- budding rate --- UAV --- geometric consistency --- radiometric consistency --- point clouds --- ICP --- reflectance maps --- vegetation indices --- Parrot Sequoia --- artificial intelligence --- precision agriculture --- agricultural robot --- optimization algorithm --- online operation --- segmentation --- coffee leaf rust --- machine learning --- deep learning --- remote sensing --- Fourth Industrial Revolution --- Agriculture 4.0 --- failure strain --- sandstone --- digital image correlation --- Hill–Tsai failure criterion --- finite element method --- reference evapotranspiration --- moisture sensors --- machine learning regression --- frequency-domain reflectometry --- randomizable filtered classifier --- convolutional neural network --- U-Net --- land use --- banana plantation --- Panama TR4 --- aerial photography --- remote images --- systematic mapping study --- agriculture --- applications --- total leaf area --- mixed pixels --- Cabernet Sauvignon --- NDVI --- Normalized Difference Vegetation Index --- precision viticulture --- 3D model --- spatial vision --- fertirrigation --- teaching–learning --- spectrometry --- Sentinel-2 --- pasture quality index --- normalized difference vegetation index --- normalized difference water index --- supplementation --- decision making --- digital agriculture --- grape yield estimate --- berries counting --- Dilated CNN --- machine learning algorithms --- classification performance --- winter wheat mapping --- large-scale --- water stress --- Prunus avium L. --- stem water potential --- low-cost thermography --- thermal indexes --- canopy temperature --- non-water-stressed baselines --- non-transpiration baseline --- soil moisture --- andosols --- image processing --- greenhouse --- automatic tomato harvesting --- n/a --- Hill-Tsai failure criterion --- teaching-learning
Choose an application
Electrical power systems are complex networks that include a set of electrical components that allow distributing the electricity generated in the conventional and renewable power plants to distribution systems so it can be received by final consumers (businesses and homes). In practice, power system management requires solving different design, operation, and control problems. Bearing in mind that computers are used to solve these complex optimization problems, this book includes some recent contributions to this field that cover a large variety of problems. More specifically, the book includes contributions about topics such as controllers for the frequency response of microgrids, post-contingency overflow analysis, line overloads after line and generation contingences, power quality disturbances, earthing system touch voltages, security-constrained optimal power flow, voltage regulation planning, intermittent generation in power systems, location of partial discharge source in gas-insulated switchgear, electric vehicle charging stations, optimal power flow with photovoltaic generation, hydroelectric plant location selection, cold-thermal-electric integrated energy systems, high-efficiency resonant devices for microwave power generation, security-constrained unit commitment, and economic dispatch problems.
electricity markets --- economic dispatch --- optimization --- maximum capacity --- online operation --- power system --- unit commitment --- circuit breaker --- network modeling --- optimal power flow --- wind and solar energies --- gas insulated switchgear --- partial discharges --- electromagnetic wave propagation --- UHF measurement --- Security-Constraint Unit Commitment --- sensitivity factors --- user cuts --- power line communication (PLC) --- energy storage management --- vehicle to grid (V2G) --- smart grid --- multi-objective optimization --- population-based intelligent optimization algorithm --- multi-behavior combination --- algorithm framework --- Economic load dispatch (ELD) --- dragonfly algorithm --- metaheuristic --- particle swarm optimization --- cold-thermal-electricity integrated energy system --- multi-energy complementation --- feasible interval of load rate --- multi-objective --- multi time scales --- optimize operation --- earthing --- earthing system --- optimisation --- Ansys Maxwell --- sensitivity analysis --- touch voltage --- non-linear programming --- security-constrained OPF --- preventive control --- corrective control --- post-contingency overflow --- transmission line --- thermal inertia --- Three-phase optimal power flow --- voltage regulation --- distributed generation --- distribution transformer taps --- linear OPF problem --- shift-factors --- line outage distribution factors --- security-constrained --- corrective formulation --- preventive formulation --- klystron --- IOT --- resotrode --- efficiency --- microwave --- bunching --- computer simulation --- global optimization --- power quality disturbances --- classification --- feature selection --- swarm optimization --- support vector machine --- genetic algorithm --- K-NN algorithm --- decision tree --- S-transform --- optimization techniques --- hydroelectric --- renewable energy --- MCDM --- fuzzy theory --- FANP --- TOPSIS --- quadratically constrained quadratic programming --- contingency constrained optimal power flow --- isolated hybrid microgrid system (IHμGS) --- solar tower (ST) --- biodiesel power generator (BDPG) --- frequency regulation --- butterfly optimization technique (BOA) --- microgrid energy management --- electric vehicle --- microgrid --- energy efficiency
Choose an application
Electrical power systems are complex networks that include a set of electrical components that allow distributing the electricity generated in the conventional and renewable power plants to distribution systems so it can be received by final consumers (businesses and homes). In practice, power system management requires solving different design, operation, and control problems. Bearing in mind that computers are used to solve these complex optimization problems, this book includes some recent contributions to this field that cover a large variety of problems. More specifically, the book includes contributions about topics such as controllers for the frequency response of microgrids, post-contingency overflow analysis, line overloads after line and generation contingences, power quality disturbances, earthing system touch voltages, security-constrained optimal power flow, voltage regulation planning, intermittent generation in power systems, location of partial discharge source in gas-insulated switchgear, electric vehicle charging stations, optimal power flow with photovoltaic generation, hydroelectric plant location selection, cold-thermal-electric integrated energy systems, high-efficiency resonant devices for microwave power generation, security-constrained unit commitment, and economic dispatch problems.
History of engineering & technology --- electricity markets --- economic dispatch --- optimization --- maximum capacity --- online operation --- power system --- unit commitment --- circuit breaker --- network modeling --- optimal power flow --- wind and solar energies --- gas insulated switchgear --- partial discharges --- electromagnetic wave propagation --- UHF measurement --- Security-Constraint Unit Commitment --- sensitivity factors --- user cuts --- power line communication (PLC) --- energy storage management --- vehicle to grid (V2G) --- smart grid --- multi-objective optimization --- population-based intelligent optimization algorithm --- multi-behavior combination --- algorithm framework --- Economic load dispatch (ELD) --- dragonfly algorithm --- metaheuristic --- particle swarm optimization --- cold-thermal-electricity integrated energy system --- multi-energy complementation --- feasible interval of load rate --- multi-objective --- multi time scales --- optimize operation --- earthing --- earthing system --- optimisation --- Ansys Maxwell --- sensitivity analysis --- touch voltage --- non-linear programming --- security-constrained OPF --- preventive control --- corrective control --- post-contingency overflow --- transmission line --- thermal inertia --- Three-phase optimal power flow --- voltage regulation --- distributed generation --- distribution transformer taps --- linear OPF problem --- shift-factors --- line outage distribution factors --- security-constrained --- corrective formulation --- preventive formulation --- klystron --- IOT --- resotrode --- efficiency --- microwave --- bunching --- computer simulation --- global optimization --- power quality disturbances --- classification --- feature selection --- swarm optimization --- support vector machine --- genetic algorithm --- K-NN algorithm --- decision tree --- S-transform --- optimization techniques --- hydroelectric --- renewable energy --- MCDM --- fuzzy theory --- FANP --- TOPSIS --- quadratically constrained quadratic programming --- contingency constrained optimal power flow --- isolated hybrid microgrid system (IHμGS) --- solar tower (ST) --- biodiesel power generator (BDPG) --- frequency regulation --- butterfly optimization technique (BOA) --- microgrid energy management --- electric vehicle --- microgrid --- energy efficiency --- electricity markets --- economic dispatch --- optimization --- maximum capacity --- online operation --- power system --- unit commitment --- circuit breaker --- network modeling --- optimal power flow --- wind and solar energies --- gas insulated switchgear --- partial discharges --- electromagnetic wave propagation --- UHF measurement --- Security-Constraint Unit Commitment --- sensitivity factors --- user cuts --- power line communication (PLC) --- energy storage management --- vehicle to grid (V2G) --- smart grid --- multi-objective optimization --- population-based intelligent optimization algorithm --- multi-behavior combination --- algorithm framework --- Economic load dispatch (ELD) --- dragonfly algorithm --- metaheuristic --- particle swarm optimization --- cold-thermal-electricity integrated energy system --- multi-energy complementation --- feasible interval of load rate --- multi-objective --- multi time scales --- optimize operation --- earthing --- earthing system --- optimisation --- Ansys Maxwell --- sensitivity analysis --- touch voltage --- non-linear programming --- security-constrained OPF --- preventive control --- corrective control --- post-contingency overflow --- transmission line --- thermal inertia --- Three-phase optimal power flow --- voltage regulation --- distributed generation --- distribution transformer taps --- linear OPF problem --- shift-factors --- line outage distribution factors --- security-constrained --- corrective formulation --- preventive formulation --- klystron --- IOT --- resotrode --- efficiency --- microwave --- bunching --- computer simulation --- global optimization --- power quality disturbances --- classification --- feature selection --- swarm optimization --- support vector machine --- genetic algorithm --- K-NN algorithm --- decision tree --- S-transform --- optimization techniques --- hydroelectric --- renewable energy --- MCDM --- fuzzy theory --- FANP --- TOPSIS --- quadratically constrained quadratic programming --- contingency constrained optimal power flow --- isolated hybrid microgrid system (IHμGS) --- solar tower (ST) --- biodiesel power generator (BDPG) --- frequency regulation --- butterfly optimization technique (BOA) --- microgrid energy management --- electric vehicle --- microgrid --- energy efficiency
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