Animal husbandry, THICKNESS, REPUBLIQUE TCHEQUE, COMPOSICION DE LA CANAL, SYSTEMES DE CLASSIFICATION, TEJIDO ADIPOSO, LEAN BODY MASS, PESADA, POIDS A L'ABATTAGE, PESO DE LA CANAL, ESPESOR, BACK, MATHEMATICS, EVALUACION, CZECH REPUBLIC, CLASSIFICATION SYSTEMS, MASSE MAIGRE DE L'ORGANISME, CERDO, CLASSEMENT, MASA CORPORAL DELGADA, PESEE, CARCASS COMPOSITION, DOS, TEMPERATURA, EPAISSEUR, TEMPERATURE, METHODE STATISTIQUE, MEASUREMENT, DORSO, SLAUGHTER WEIGHT, METODOS ESTADISTICOS, CLASIFICACION DE PRODUCTOS, STATISTICAL METHODS, CARCASSES, MATHEMATIQUE, ADIPOSE TISSUE, CLASSIFICATION, GRADING, MATEMATICAS, CARCASSE, COMPOSITION DE LA CARCASSE, PORCIN, MEDICION, MESURE, CANAL ANIMAL, TISSU ADIPEUX, CLASIFICACION, REPUBLICA CHECA, SISTEMA DE CLASIFICACION, EVALUATION, SWINE, and WEIGHING

The study was focused on the selected parameters of carcass value used within the SEUROP grading system. There were 1591 pig carcasses put in the test. The lean meat content was determined using the new predicting formula Y(%)=70.28164 - 0.75376 S + 0.00270 M. The average lean meat content reached the value of 59.62 +/- 0.069% and the average carcass value was 91.67 +/- 0.259 kg. Comparing to the old regression formula there was an increasing tendency of the lean meat content of two percentage points. The results of the test according to the grading classes show a very similar share of the two best classes S and E. In the class S were 741 carcasses (46.57%) and in the class E were 739 carcasses (46.45%). Into these two classes were ranked more than 93% of all carcasses put in the test. In the class U were 107 carcasses, which made 6.73% of the sample. In the class R were only 4 carcasses (0.25%) and the classes O and P were not represented. For the use in practice is then necessary to put the subclasses in the range of 1% in the SEUROP grading system - every class is divided into 5 subclasses. In the Czech republic, the carcasses with the carcass weight between 80 and 100 kg are preferred. In this weight interval were 65% of the carcasses. The highest lean meat content (62.14%) was within the weight category 60-70 kg compared to the category of 110-120 kg where the lean meat content was only 56.11%.

Animal husbandry, THICKNESS, INSTRUMENT DE MESURE, COMPOSICION DE LA CANAL, TEJIDO ADIPOSO, MEASURING INSTRUMENTS, TECHNIQUE DE PREVISION, MUSCLES, LEAN BODY MASS, FORECASTING, MAIN D'OEUVRE, INSTRUMENTOS DE MEDICION, ESPESOR, COMPUTER SOFTWARE, MATHEMATICS, EVALUACION, METHODS, MASSE MAIGRE DE L'ORGANISME, CERDO, APTITUD CARNICA, METODOS, METHODE, MASA CORPORAL DELGADA, CARCASS COMPOSITION, MUSCULOS, EPAISSEUR, METHODE STATISTIQUE, MEASUREMENT, LARD DORSAL, EQUIPO, METODOS ESTADISTICOS, EQUIPMENT, APTITUDE POUR LA VIANDE, STATISTICAL METHODS, MANPOWER, MATHEMATIQUE, PROFONDEUR, PROFUNDIDAD, ADIPOSE TISSUE, DEPTH, CLASSIFICATION, MEAT PERFORMANCE, TOCINO DORSAL, MATEMATICAS, BACKFAT, COMPOSITION DE LA CARCASSE, PORCIN, MEDICION, MESURE, TECNICAS DE PREDICCION, MANO DE OBRA, MUSCLE, PROGRAMAS DE ORDENADOR, LOGICIEL, TISSU ADIPEUX, CLASIFICACION, SWINE, EVALUATION, and MATERIEL

The aim of the study was to determine the repeatability and operator variability, which estimate the backfat thicknes (S-FOM), muscle depth (M-FOM) and lean meat share (LMP) measured twice in one pig with one instrument (FOM). The observed LMP-FOM estimations was also compared with the ZP method. 180 total hybrid pigs of common genotypes, using in the Czech Republic was measured at the abbatoir. For the lean meat share prediction and its comparison the FOM and ZP equations were used. Calculation and the results comparison was performed by mathematical-statistical program SAS Propriety Software Release 6.04. Significance of differences was tested by analysis of variance. The results showed that: - there are minimal differences in the LMP estimation between FOM and ZP, - ZP method, compared to FOM, LMP estimate overstates, - considerable differences between LMP estimates of operators are caused by punctures in the wrong place, - repeatability S and M for the first and repeated injection is high, the accuracy of the estimate LMP-FOM/LMP-ZP are 0.98351/0.838, - accuracy of M-FOM determination is affected by operator, - repeatability accuracy of LMP estimates is for all operators practically identical.

Mathematical and statistical methods, Research methods, Plant structure, PLANT PRODUCTS, MECHANICAL PROPERTIES, ELASTICITY, STRENGTH, MEASUREMENT, MEASURING INSTRUMENTS, METHODS, MATHEMATICAL MODELS, MATHEMATICS, STATISTICAL METHODS, PRODUIT VEGETAL, PROPRIETE MECANIQUE, ELASTICITE, RESISTANCE MECANIQUE, MESURE, INSTRUMENT DE MESURE, METHODE, MODELE MATHEMATIQUE, MATHEMATIQUE, METHODE STATISTIQUE, PRODUCTOS DE ORIGEN VEGETAL, PROPIEDADES MECANICAS, ELASTICIDAD, RESISTENCIA MECANICA, MEDICION, INSTRUMENTOS DE MEDICION, METODOS, MODELOS MATEMATICOS, MATEMATICAS, and METODOS ESTADISTICOS

Summaries (En, Pl)
1 fig., 1 table; 5 ref.
Plant materials of high moisture content and viscoelastic behaviour may be described by generalized Maxwell model. Using this model and making relaxation test consisted in axial squeezing of cylindrical samples at determined speed and deformation extent, the viscoelastic qualities of plant material may be determined. An experimental stand was developed and equipped with force sensor and software for gathering and analysis of measurement data. Actual sample deformation was used for calculation that in the experiment was smaller by the bend of force sensor and constituted a systematic measurement error. Instantaneous sensor bend was determined from force applied and linear sensor characteristics. As a result of numerical computations corrected models' parameters were obtained at 2% systematic error

Soil chemistry and physics, Mathematical and statistical methods, INFILTRATION, SIMULATION MODELS, MATHEMATICAL MODELS, EVALUATION, MEASUREMENT, STATISTICAL METHODS, MATHEMATICS, CLAY SOILS, LOAM SOILS, SANDY SOILS, MODELE DE SIMULATION, MODELE MATHEMATIQUE, MESURE, METHODE STATISTIQUE, MATHEMATIQUE, SOL ARGILEUX, SOL SABLOLIMONEUX, SOL SABLEUX, INFILTRACION, MODELOS DE SIMULACION, MODELOS MATEMATICOS, EVALUACION, MEDICION, METODOS ESTADISTICOS, MATEMATICAS, SUELO ARCILLOSO, SUELO FRANCO, SUELO ARENOSO, ERRORS, and MONTE CARLO METHOD

references
Water infiltration is a driving force influencing crop growth, soil erosion, and chemical leaching processes. Knowledge of the relative precision and accuracy of infiltration models is needed for best characterization of the infiltration parameters. The two-parameter Green-Ampt and Philip, three-parameter Horton, Mezencev, Swartzendruber, and Parlange et al., and four-parameter Barry et al. infiltration models were compared for their precision and accuracy of estimated parameter confidence intervals using simulated infiltration reference data. To account for potential levels of uncertainty, three levels of measurement error were included using a Monte Carlo analysis. Reference data were generated for a clay and a sandy loam soil using an adaptive-grid finite-element code. Results show that extending the measurement period provided parameter estimates with higher confidence, a more precise estimate of that confidence, and better defined minima in the objective function. The empirical Horton model resulted in the worst fits due to model bias, which also prevented estimation of parameter uncertainty for this model. The semianalytical Swartzendruber and the physically based Parlange et al. and Barry et al. models provided the best fits. Considering all selected criteria, the Swartzendruber model was a reasonable compromise under the conditions imposed in this study

Food composition, Mathematical and statistical methods, Food processing and preservation, APPLES, CIDERS, RIPENING, SUGARS, ORGANIC ACIDS, AMINO ACIDS, POLYPHENOLS, PECTINS, GENETIC MARKERS, MEASUREMENT, MATHEMATICS, STATISTICAL METHODS, POMME, CIDRE, MURISSAGE, SUCRES, ACIDE ORGANIQUE, ACIDE AMINE, POLYPHENOL, PECTINE, MARQUEUR GENETIQUE, MESURE, MATHEMATIQUE, METHODE STATISTIQUE, MANZANA, SIDRA, MADURAMIENTO, AZUCARES, ACIDOS ORGANICOS, AMINOACIDOS, POLIFENOLES, PECTINAS, MARCADORES GENETICOS, MEDICION, MATEMATICAS, METODOS ESTADISTICOS, CIDERMAKING, LINEAR DISCRIMINANT ANALYSIS, RIPENING STAGE, PRINCIPAL COMPONENT ANALYSIS, and DISCRIMINANT ANALYSIS

references
A chemometric study was carried out in order to typify cider apples according to their degree of ripening. Several chemical variables (sugars, organic acids, amino acids, polyphenols, and pectins) were analyzed using HPLC and FIA methods. Univariate data treatment was not sufficient to allow the apple varieties to be differentiated according to their stage of ripening. Two linear combinations of original variables, ascertained by principal component analysis (PCA), provided an adequate data structurization. To classify apples by their degree of ripening, a mathematical decision rule was established with a prediction capacity of 85% using a LDA method; the most relevant variables in the canonical function ascertained by LDA were sugars, pectins, malic acid, glycine, serine, valine, and glutamic acid. The use of the PLS-2 algorithm demonstrated the influence of the ripening process on the chemical composition of the fruits (R2: 91.7%) and furthermore allowed authors to differentiate apple varieties according to their degree of ripening

Pollution, Organization, administration and management of agricultural enterprises or farms, Mathematical and statistical methods, USA, GROUNDWATER POLLUTION, PESTICIDES, AGRICULTURAL SECTOR, STATISTICAL METHODS, PRODUCTIVITY, MEASUREMENT, PRODUCTION FUNCTIONS, MATHEMATICS, ETATS UNIS, POLLUTION DE L'EAU SOUTERRAINE, PESTICIDE, SECTEUR AGRICOLE, METHODE STATISTIQUE, PRODUCTIVITE, MESURE, FONCTION DE PRODUCTION, MATHEMATIQUE, EUA, POLUCION DE AGUAS SUBTERRANEAS, PLAGUICIDAS, SECTOR AGRARIO, METODOS ESTADISTICOS, PRODUCTIVIDAD, MEDICION, FUNCIONES DE LA PRODUCCION, MATEMATICAS, FACTOR ANALYSIS, and EQUATIONS

references. Paper presented at the ASSA winter meeting held January 3-5, 1998, Chicago, Illinois. Discussions by V.K. Smith, p. 591-594, and R.D. Weaver, p. 595-599

Food composition, Feed composition, Mathematical and statistical methods, WHEATS, GRAIN, MOISTURE CONTENT, MEASUREMENT, DIELECTRIC PROPERTIES, DENSITY, RADIATION, SPECTROMETRY, MATHEMATICS, STATISTICAL METHODS, BLE, TENEUR EN EAU, MESURE, PROPRIETE DIELECTRIQUE, DENSITE, SPECTROMETRIE, MATHEMATIQUE, METHODE STATISTIQUE, TRIGO, GRANOS, CONTENIDO DE HUMEDAD, MEDICION, PROPIEDADES DIELECTRICAS, DENSIDAD, RADIACION, ESPECTROMETRIA, MATEMATICAS, METODOS ESTADISTICOS, DENSITY-INDEPENDENT MEASUREMENT, BULK DENSITY, RADIO WAVES, SPECTRAL ANALYSIS, ACCURACY, EQUATIONS, MULTIVARIATE ANALYSIS, and PRINCIPAL COMPONENT ANALYSIS

references
A technique is presented for rapidly determining the moisture content of hard red winter wheat, Triticum aestivum L., independent of grain bulk density. Complex admittance measurements from 1 to 110 MHz on bulk wheat samples were collected for predicting moisture contents ranging from about 9% to 20%, wet basis, in samples with densities ranging from 0.620 to 0.790 g/cm3. The data were transformed to density-independent function (DIF) values, and multivariate analysis was used to eliminate spectral and statistical outliers. Principal component analysis was also used to determine the optimum frequencies for predicting moisture content with the DIF values. Partial least-squares regression was then used to develop a calibration based on measurements at three frequencies of about 2, 25, and 80 MHz. Calibration was performed with 47 wheat samples representing six cultivars harvested in 1991 and 1992 with a standard error of cross validation of 0.34% moisture content, and validation was tested on 146 different samples from the same cultivars. Predicted moisture contents compared well with values determined by air oven drying with a standard error of performance of 0.39% moisture content and a bias of +0.03%

Agricultural machinery and equipment, Handling, transport, storage and protection of plant products, Mathematical and statistical methods, VICIA SATIVA, SEED, RYE, GRAIN, SEED MIXTURES, SEPARATING, SEED CLEANING, PHYSICAL PHENOMENA, SEED CLEANERS, EQUIPMENT PARTS, EQUIPMENT PERFORMANCE, LABORATORY EQUIPMENT, PROCESSING QUALITY, MEASUREMENT, LABORATORY EXPERIMENTATION, MATHEMATICS, STATISTICAL METHODS, SEMENCE, SEIGLE, MELANGE DE SEMENCES, SEPARATION, NETTOYAGE DE GRAINS ET SEMENCES, PHENOMENE PHYSIQUE, NETTOYEUR DE GRAINS ET SEMENCES, ELEMENT DE MATERIEL, PERFORMANCE DU MATERIEL, MATERIEL DE LABORATOIRE, QUALITE TECHNOLOGIQUE, MESURE, EXPERIMENTATION EN LABORATOIRE, MATHEMATIQUE, METHODE STATISTIQUE, SEMILLAS, CENTENO, GRANOS, MEZCLA DE SEMILLAS, SEPARACION, LIMPIEZA DE GRANOS Y SEMILLAS, FENOMENO FISICO, LIMPIADORAS DE GRANOS Y SEMILLAS, ELEMENTOS DE MAQUINARIA, DESEMPENO DE LA MAQUINARIA, EQUIPO DE LABORATORIO, CALIDAD DE PROCESAMIENTO, MEDICION, EXPERIMENTACION EN LABORATORIO, MATEMATICAS, and METODOS ESTADISTICOS

Summaries (En, Pl)
5 fig.; 5 ref.
The effects of rotational speed, loading volume and composition of seed mixture on caving filling factor were investigated. Truncated cones, narrowing and broading towards the outlet, were used as separation surfaces. The results were statistically analysed and presented in form of diagrams

Processing of non-food or non-feed agricultural products, Mathematical and statistical methods, COTTON, FIBRES, LENGTH, MEASUREMENT, STATISTICAL METHODS, MATHEMATICS, COTON, FIBRE, LONGUEUR, MESURE, METHODE STATISTIQUE, MATHEMATIQUE, ALGODON, FIBRAS, LARGURA, MEDICION, METODOS ESTADISTICOS, MATEMATICAS, COTTON FIBER BEARDS, DISTRIBUTION, THEORY, and PROBABILITY

references

Processing of forest products, Mathematical and statistical methods, EQUIPMENT, PULP AND PAPER INDUSTRY, PAPER, STATISTICAL METHODS, MATHEMATICS, SENSORS, MEASUREMENT, MOISTURE CONTENT, MATERIEL, INDUSTRIE DE PATE ET PAPIER, PAPIER, METHODE STATISTIQUE, MATHEMATIQUE, CAPTEUR, MESURE, TENEUR EN EAU, EQUIPO, INDUSTRIA DE LA PASTA Y EL PAPEL, PAPEL, METODOS ESTADISTICOS, MATEMATICAS, SENSORES, MEDICION, CONTENIDO DE HUMEDAD, scanning sensors, wavelet algorithms, data compression, wavelet transforms, and SCANNING

Summaries (En, Ja, Zh)

Processing of forest products, Mathematical and statistical methods, PAPER, ELASTICITY, MOISTURE CONTENT, WATER, HYDROGEN, FORECASTING, MEASUREMENT, STATISTICAL METHODS, MATHEMATICS, PAPIER, ELASTICITE, TENEUR EN EAU, EAU, HYDROGENE, TECHNIQUE DE PREVISION, MESURE, METHODE STATISTIQUE, MATHEMATIQUE, PAPEL, ELASTICIDAD, CONTENIDO DE HUMEDAD, AGUA, HIDROGENO, TECNICAS DE PREDICCION, MEDICION, METODOS ESTADISTICOS, MATEMATICAS, MODULUS OF ELASTICITY, PROBABILITY, EQUATIONS, and REGRESSION ANALYSIS

references

Food composition, Mathematical and statistical methods, Wines, Spirits, Colour, Absorbance, Measurement, Mathematics, Spectrometry, Vin, Eau de vie, Couleur, Mesure, Mathématique, Spectrométrie, Vinos, Aguardientes, Color, Absorbancia, Medición, Matemáticas, and Espectrometría

3 gráf.; 7 ref.

Forestry production, Mathematical and statistical methods, Cropping patterns and systems, FOREST TREES, MATHEMATICAL MODELS, STATISTICAL METHODS, MULTIPURPOSE TREES, EUCALYPTUS SALIGNA, VOLUME, MEASUREMENT, MATHEMATICS, CAMEROON, ARBRE FORESTIER, MODELE MATHEMATIQUE, METHODE STATISTIQUE, ARBRE A BUTS MULTIPLES, MESURE, MATHEMATIQUE, CAMEROUN, ARBOLES FORESTALES, MODELOS MATEMATICOS, METODOS ESTADISTICOS, ARBOLES DE PROPOSITO MULTIPLE, VOLUMEN, MEDICION, MATEMATICAS, CAMERUN, VALIDATION, and EQUATIONS

29 ref.

Water resources and management, Mathematical and statistical methods, HIGH WATER, WATER LEVELS, RUNOFF, WATERSHEDS, WATERSHED MANAGEMENT, MATHEMATICS, MEASUREMENT, RAIN, RUNOFF WATER, EVALUATION, TIME, CRUE, HAUTEUR DES EAUX, RUISSELLEMENT, BASSIN VERSANT, AMENAGEMENT DE BASSIN VERSANT, MATHEMATIQUE, MESURE, PLUIE, EAU DE RUISSELLEMENT, TEMPS, CRECIDA, NIVEL DEL AGUA, ESCORRENTIA, CUENCAS HIDROGRAFICAS, ORDENACION DE CUENCAS, MATEMATICAS, MEDICION, LLUVIA, AGUA DE ESCORRENTIA, EVALUACION, and TIEMPO

Summary (En)
1 fig., 4 tables
17 ref.
Catchment lag time, defined as the elapsed time between the occurrence of the centroids of the effective rainfall and the direct runoff hydrograph, has been estimated taking into account the recorded rainfall-runoff events and the empirical formulas for four catchments: Zagozdzonka, Gzowka and Skawa catchment (located in Poland), Bauna catchment (located in Germany). On the basis of analysis for every four catchments result, that to calculate lag time in ungauged catchments we can apply SCS equation, Nash equation and Kennedy and Watt equation

Mathematical and statistical methods, Food processing and preservation, BARLEY, RYE, GRAIN, MILLING, EQUIPMENT, LABORATORY EQUIPMENT, LABORATORY EXPERIMENTATION, MEASUREMENT, METHODS, COMPUTER APPLICATIONS, CHEMICOPHYSICAL PROPERTIES, ENERGY CONSUMPTION, MATHEMATICS, ORGE, SEIGLE, MOUTURE, MATERIEL DE LABORATOIRE, EXPERIMENTATION EN LABORATOIRE, MESURE, METHODE, APPLICATION DES ORDINATEURS, PROPRIETE PHYSICOCHIMIQUE, CONSOMMATION D'ENERGIE, MATHEMATIQUE, CEBADA, CENTENO, GRANOS, MOLIENDA, EQUIPO DE LABORATORIO, EXPERIMENTACION EN LABORATORIO, MEDICION, METODOS, APLICACIONES DEL ORDENADOR, PROPIEDADES FISICOQUIMICAS, CONSUMO DE ENERGIA, and MATEMATICAS

Summaries (En, Pl)
6 fig., 2 tables; 4 ref.
Energy consumption was investigated at grinding selected cereal grains of differentiated moisture content. Tests of grinding process were conducted on an experimental stand equipped with a hammer mill and computer system to data recording. Analysis of the results was based on theoretical Walker's equation. Variability of the equation coefficients was estimated within the range assumed to study. Absolute values of the exponent in the equation were higher than those determined in theoretical equations of Rittinger, Bond and Kick. The values of that parameter obtained for barley and rye grain did not significantly differ

Plant structure, Mathematical and statistical methods, VITIS VINIFERA, WINE GRAPES, VARIETIES, LEAF AREA, LEAVES, MEASUREMENT, METHODS, MATHEMATICS, LINEAR MODELS, RAISIN DE CUVE, VARIETE, SURFACE FOLIAIRE, FEUILLE, MESURE, METHODE, MATHEMATIQUE, MODELE LINEAIRE, UVAS PARA VINO, VARIEDADES, SUPERFICIE FOLIAR, HOJAS, MEDICION, METODOS, MATEMATICAS, and MODELOS LINEALES

Sumarios (En, Es)
9 ref.
La medición simple de variables que permitan medir el área foliar en vides (Vitis vinifera L.) en forma práctica bajo condiciones de campo, es necesaria para establecer su relación con el crecimiento y producción. En la temporada 1993/94 en el área de Cauquenes, Chile se realizó un ensayo para determinar las variables que mejor estimaran el área foliar, en hojas de brotes y feminelas 3 en vides cv. Chardonnay. Los productos de largo máximo (LM) x ancho máximo (AM) para hojas de brotes y de largo entre el mucrón y el punto peciolar (LP) x ancho máximo (AM) para hojas de feminelas presentaron los mejores indicadores de relación matemática

Food processing and preservation, Mathematical and statistical methods, APPLES, CUTTING, HOT AIR DRYING, CHEMICOPHYSICAL PROPERTIES, THERMAL PROPERTIES, SPECIFIC HEAT, MOISTURE CONTENT, DENSITY, PROCESS CONTROL, MEASUREMENT, MATHEMATICS, METHODS, POMME, DECOUPAGE, SECHAGE PAR AIR CHAUD, PROPRIETE PHYSICOCHIMIQUE, PROPRIETE THERMIQUE, CHALEUR SPECIFIQUE, TENEUR EN EAU, DENSITE, CONTROLE DE FABRICATION, MESURE, MATHEMATIQUE, METHODE, MANZANA, CORTE, SECADO POR AIRE CALIENTE, PROPIEDADES FISICOQUIMICAS, PROPIEDADES TERMICAS, CALOR ESPECIFICO, CONTENIDO DE HUMEDAD, DENSIDAD, CONTROL DE FABRICACION, MEDICION, MATEMATICAS, and METODOS

Summary (En)
2 fig., 1 table; 11 ref.
Theoretical formulas to calculate the course of thermal variations, properties and density of apples in the course of drying from raw to completely dried material were defined basing on the rules of thermodynamics. The results of experimental studies confirmed the pertinence of theoretical formulas, where density, thermal conductivity, thermal diffusion and volumetric specific heat capacity of raw material give the sum of product volumetric fractions of particular phases and their corresponding properties. Similarly, specific heat capacity is the sum of mass fraction products of the phases and their heat capacities

Mathematical and statistical methods, Agricultural machinery and equipment, PLANT PROTECTION, AIRCRAFT, SPRAYERS, NOZZLES, LOW VOLUME SPRAYING, AERIAL APPLICATION, SPRAY DRIFT, MATHEMATICAL MODELS, FLUID FLOW, RHEOLOGICAL PROPERTIES, FLUID MECHANICS, DISPERSIONS, DIMENSIONS, MEASUREMENT, MATHEMATICS, PROTECTION DES PLANTES, AERONEF, PULVERISATEUR, BUSE, PULVERISATION A BAS VOLUME, EPANDAGE AERIEN, DERIVE DES PRODUITS PULVERISES, MODELE MATHEMATIQUE, ECOULEMENT DE FLUIDE, PROPRIETE RHEOLOGIQUE, MECANIQUE DES FLUIDES, ETAT DISPERSE, DIMENSION, MESURE, MATHEMATIQUE, PROTECCION DE LAS PLANTAS, AERONAVES, PULVERIZADORES, TOBERAS, PULVERIZACION A DOSIS REDUCIDA, APLICACION AEREA, DERIVA DE PULVERIZACION, MODELOS MATEMATICOS, FLUJO, PROPIEDADES REOLOGICAS, MECANICA DE FLUIDOS, DISPERSION, MEDICION, and MATEMATICAS

Summary (En)
3 fig., 1 table; 13 ref.
An analysis was presented in order to bring closer obtained results based on a "free model" of theoretical off-target drift function of airborne spraying to experimental data obtained with the use of an agricultural flight An-2R and helicopter Mi-2R. The correlation coefficients were obtained, being the function of droplets diameter, that included in the mass distribution equations allowed to form semi-empirical equation closer to real distribution