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Precision farming --- Préciculture --- Precision farming. --- Precision agriculture --- Prescription farming --- Site-specific farming --- Soil specific crop management --- Site-specific agriculture --- Agriculture
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Precision farming --- Precision agriculture --- Prescription farming --- Site-specific agriculture --- Site-specific farming --- Soil specific crop management --- Agriculture
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Precision agriculture is a reality in agriculture and is playing a key role as the industry comes to terms with the environment, market forces, quality requirements, traceability, vehicle guidance and crop management. Research continues to be necessary, and needs to be reported and disseminated to a wide audience.These proceedings contain reviewed papers presented at the 13th European Conference on Precision Agriculture, held in Budapest, Hungary. The papers reflect the wide range of disciplines that impinge on precision agriculture - technology, crop science, soil science, agronomy, information technology, decision support, remote sensing and others.The broad range of research topics reported will be a valuable resource for researchers, advisors, teachers and professionals in agriculture long after the conference has finished.
Precision farming. --- Precision agriculture --- Prescription farming --- Site-specific agriculture --- Site-specific farming --- Soil specific crop management --- Agriculture
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Agriculture --- Precision farming. --- Precision agriculture --- Prescription farming --- Site-specific agriculture --- Site-specific farming --- Soil specific crop management --- Agricultural forecasting --- Forecasting --- Agricultural estimating and reporting --- Forecasting.
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Precision Livestock Farming (PLF) technology is a reality. PLF is a combination of developing animal sensing (sensors) tools and decision-making process at the farm level. It also has the potential to support animal feed suppliers, human-food retailers and other players along the supply chain to make better choices. The current challenge for PLF is the integration of the technology in the majority of the farms and not only to the pioneering farms.This book consist of full-length peer-reviewed papers combined with 'questions and answers' sections. It is the result of a joint session hosted by the European Association of Animal Production and brings together research focusing on real-time interpretation of the combination of sensor development, industry, animal genetics, animal nutrition, and animal health.Unique of this 'cross-disciplinary' approach is that 'animal-focused' scientists, engineers, companies as well as farmers' organizations have interacted and combined their strengths and views. 'Precision Livestock Farming Applications - Making sense of sensors to support farm management' provides an update on the state of the art of PLF in interaction with the other scientific and applicative expertise. It is of interest for researchers, students, professionals, farmers, and livestock industry concerned with livestock production management.
Livestock farms -- Management. --- Livestock systems. --- Precision farming. --- Agriculture --- Earth & Environmental Sciences --- Agriculture - General --- Livestock farms --- Management. --- Agricultural systems --- Farms --- Precision agriculture --- Prescription farming --- Site-specific agriculture --- Site-specific farming --- Soil specific crop management --- Science --- Technology & Engineering
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Introducing processes and applications based on a global scale, the book reveals how precision agriculture can be used in large-scale agriculture, community agriculture, and diversified farming. It includes site-specific information from a variety of information sources for planning, planting, growing, and harvesting agricultural crops. It also presents a new concept based on the control system theory that can be used to formulate systematic methods for more effective precision crop production.
Precision farming. --- Precision farming --- Agrotechnology and Food Sciences. Agricultural Engineering --- Technological innovations. --- Agricultural Engineering (General). --- Mechanization. --- Technological innovations --- Precision agriculture --- Prescription farming --- Site-specific agriculture --- Site-specific farming --- Soil specific crop management --- Agriculture --- United States.
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Explains general Precision Agriculture theory, identifies and describes essential tools and techniques, and includes practical examples from the grains industry.
Precision farming --- Agriculture --- Farmers --- Farm operators --- Operators, Farm --- Planters (Persons) --- Agriculturists --- Rural population --- Farming --- Husbandry --- Industrial arts --- Life sciences --- Food supply --- Land use, Rural --- Precision agriculture --- Prescription farming --- Site-specific agriculture --- Site-specific farming --- Soil specific crop management --- Study and teaching --- Management --- Education
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Agriculture de précision --- Farming [Precision ] --- Landbouw [Precisie ] --- Precisie landbouw --- Precision farming --- Precision farming. --- Agriculture - General --- Agriculture --- Earth & Environmental Sciences --- 631.15 --- 631.171 --- 681.3*H4 --- Precision agriculture --- Prescription farming --- Site-specific farming --- Soil specific crop management --- Farm production. Farm management. Farm administration --- Mechanization and automation of farming and agriculture --- Information systems applications (GIS etc.) --- Plant and Crop Sciences. Crop Sciences --- Crop Husbandry --- Site-specific agriculture --- Crop Husbandry. --- 681.3*H4 Information systems applications (GIS etc.) --- 631.171 Mechanization and automation of farming and agriculture --- 631.15 Farm production. Farm management. Farm administration --- E-books
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This book brings together in one place two dynamic subjects, precision agriculture and geostatistics, that have spatial variation at their core. Geostatistics is applied in precision agriculture (PA) to sampling, prediction, mapping, decision-making, economics, designed experiments, variable-rate applications and so on. Contributions from experts in both fields illustrate how geostatistics can and has been used to advantage with PA data such as yield, soil, crop, pests, aerial photograph, remote and proximal imagery. Geostatistical techniques include variography, ordinary-, disjunctive-, factorial-, indicator-, regression-, simple-, space-time- and co-kriging, and geostatistical simulation. The link between geostatistics and PA will increase as more intensive information on the soil and crops becomes available from sensors and on-the-go technology. This is not a recipe book, but is intended to guide readers in the use of appropriate techniques for the types of data and needs of the farmer in managing the land.
Geomorphology -- Mathematical models. --- Geomorphology. --- Precision farming. --- Precision farming --- Geology --- Agriculture --- Earth & Environmental Sciences --- Agriculture - General --- Statistical methods --- Precision agriculture --- Prescription farming --- Site-specific agriculture --- Site-specific farming --- Soil specific crop management --- Life sciences. --- Earth sciences. --- Agriculture. --- Environmental sciences. --- Sustainable development. --- Agricultural economics. --- Life Sciences. --- Math. Appl. in Environmental Science. --- Earth Sciences, general. --- Agricultural Economics. --- Sustainable Development. --- Geography. --- Agrarian question --- Agribusiness --- Agricultural economics --- Agricultural production economics --- Production economics, Agricultural --- Land use, Rural --- Cosmography --- Earth sciences --- World history --- Environmental science --- Science --- Farming --- Husbandry --- Industrial arts --- Life sciences --- Food supply --- Development, Sustainable --- Ecologically sustainable development --- Economic development, Sustainable --- Economic sustainability --- ESD (Ecologically sustainable development) --- Smart growth --- Sustainable development --- Sustainable economic development --- Economic development --- Economic aspects --- Environmental aspects --- Geosciences --- Environmental sciences --- Physical sciences --- Sustainability. --- Mathematical Applications in Environmental Science. --- Earth Sciences. --- Mathematics. --- Economic aspects. --- Sustainability science --- Human ecology --- Social ecology
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Vegetation plays an essential role in the study of the environment through plant respiration and photosynthesis. Therefore, the assessment of the current vegetation status is critical to modeling terrestrial ecosystems and energy cycles. Canopy structure (LAI, fCover, plant height, biomass, leaf angle distribution) and biochemical parameters (leaf pigmentation and water content) have been employed to assess vegetation status and its dynamics at scales ranging from kilometric to decametric spatial resolutions thanks to methods based on remote sensing (RS) data.Optical RS retrieval methods are based on the radiative transfer processes of sunlight in vegetation, determining the amount of radiation that is measured by passive sensors in the visible and infrared channels. The increased availability of active RS (radar and LiDAR) data has fostered their use in many applications for the analysis of land surface properties and processes, thanks to their insensitivity to weather conditions and the ability to exploit rich structural and texture information. Optical and radar data fusion and multi-sensor integration approaches are pressing topics, which could fully exploit the information conveyed by both the optical and microwave parts of the electromagnetic spectrum.This Special Issue reprint reviews the state of the art in biophysical parameters retrieval and its usage in a wide variety of applications (e.g., ecology, carbon cycle, agriculture, forestry and food security).
hyperspectral --- spectroscopy --- equivalent water thickness --- canopy water content --- agriculture --- EnMAP --- LAI --- LCC --- FAPAR --- FVC --- CCC --- PROSAIL --- GPR --- machine learning --- active learning --- Landsat 8 --- surface reflectance --- LEDAPS --- LaSRC --- 6SV --- SREM --- NDVI --- artificial neural networks --- canopy chlorophyll content --- INFORM --- leaf area index --- SAIL --- fluorescence --- in vivo --- spectrometry --- ASD Field Spec --- lead ions --- remote sensing indices --- meteosat second generation (MSG) --- biophysical parameters (LAI --- FAPAR) --- SEVIRI --- climate data records (CDR) --- stochastic spectral mixture model (SSMM) --- Satellite Application Facility for Land Surface Analysis (LSA SAF) --- the fraction of radiation absorbed by photosynthetic components (FAPARgreen) --- triple-source --- leaf area index (LAI) --- woody area index (WAI) --- clumping index (CI) --- Moderate Resolution Imaging Spectroradiometer (MODIS) --- soil albedo --- unmanned aircraft vehicle --- multispectral sensor --- vegetation indices --- rapeseed crop --- site-specific farming --- Sentinel-2 --- forest --- vegetation radiative transfer model --- Discrete Anisotropic Radiative Transfer (DART) model --- MODIS --- fraction of photosynthetically active radiation absorbed by vegetation (FPAR) --- three-dimensional radiative transfer model (3D RTM) --- uncertainty assessment --- vertical foliage profile (VFP) --- terrestrial laser scanning (TLS) --- airborne laser scanning (ALS) --- spaceborne laser scanning (SLS) --- riparian --- invasive vegetation --- burn severity --- canopy loss --- wildfire
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