An Overhead Optical Yield Monitor for a Sugarcane Harvester Based on Two Optical Distance Sensors Mounted above the Loading Elevator

2017 ◽  
Vol 33 (5) ◽  
pp. 687-693 ◽  
Author(s):  
Randy R. Price ◽  
Richard M. Johnson ◽  
Ryan P. Viator
Keyword(s):  
Precision Agriculture ◽  
Statistical Testing ◽  
Coefficient Of Determination ◽  
Power Type ◽  
Type Curve ◽  
Yield Monitor ◽  
Sugarcane Harvester ◽  
Material Length ◽  
Yield Monitoring

Abstract. A yield monitor was constructed for a billet-type sugarcane harvester that uses two laser distance sensors mounted above the loading elevator to measure the height and length of the billet piles per slat. By using this method, a volume-to-mass relationship can be established for the weight flow of sugarcane through the combine for the measurement of yield. Testing of the system indicated that the cumulative billet pile length had the best relationship to harvested weight with a linear line relationship and coefficients of determinations ranging from 0.93 and 0.97. Estimated yields matched actual yields very well with a 0.99 slope and a coefficient of determination of 0.87 and yields were predicted to be within 7.3 metric tons/ha of actual values. Material height did not perform as well as material length and exhibited a power-type curve relationship to harvested weight with coefficients of determination ranging from 0.66 to 0.93, and estimated yields only matched actual yields with a coefficient of determination of 0.46. A third parameter, the product of material height to material length, also returned a power-type curve relationship to harvested weight with coefficients of determination ranging from 0.74 to 0.96 and yield comparisons for this parameter achieved a coefficient of determination of 0.74 which was better than the material height alone, but not as good as material length by itself. Statistical testing indicated that variances in material length were strongly correlated to material flow, but not to sugarcane variety, direction of cut, nor day of testing. Sample analysis indicated that the monitor can predict yields to within 2.2 metric tons/ha of actual values on 0.4 ha (or larger) precision farming blocks. Installation times were fast, easy, and can be performed in the field with little changes to the combine as the sensor bar merely clamps to the upper rails of the elevator. This yield monitoring system may provide yield monitoring in sugarcane on a per field basis that is easy-to-mount, non-contact, and robust from dirt and debris. Keywords: GPS, Harvesting, Precision agriculture, Sugarcane, Yield monitor.

Variety Effects on Cotton Yield Monitor Calibration

2019 ◽  
Vol 35 (3) ◽  
pp. 345-354 ◽  
Author(s):  
Earl D Vories ◽  
Andrea S Jones ◽  
Calvin D Meeks ◽  
William E Stevens
Keyword(s):  
Precision Agriculture ◽  
Fiber Quality ◽  
High Volume ◽  
Calibration Error ◽  
Cotton Yield ◽  
Yield Monitor ◽  
Site Specific ◽  
Cotton Picker ◽  
Factor Data

Abstract.Cotton ( L.) producers were some of the earliest adopters of practices employing site-specific management. Yield monitors are an essential component of those precision agriculture methods. The agreement between measured cotton yields and those estimated with yield monitors must be improved to adequately advance precision agriculture, particularly the site-specific planting of multiple varieties. Six site-years of observations with two yield monitor systems were studied with the objective to compare yield monitor-estimated weights to observed weights in replicated cotton variety trials and investigate factors that could relate to any observed varietal effect. The results supported the findings of earlier research indicating that cotton yield monitor calibration is affected by variety. For the six site-years and three combinations of two site-years, correlations were sometimes observed between calibration errors and turnout or some of the High Volume Instrument (HVI) fiber quality measurements, but no factor was consistently correlated across multiple studies. In one study, none of the included factors was significantly correlated with calibration error, while the HVI properties reflectance (Rd) and leaf grade were both significantly correlated in three comparisons, which was more than any other factor. Data from additional site-years must be collected and analyzed and other factors investigated to find what variety-related properties affect yield monitor errors and to allow the determination of calibration adjustments based on those factors. Keywords: Cotton, Cotton picker, Harvest, Precision agriculture, Yield monitor.

scholarly journals Modeling Population Spatial-Temporal Distribution Using Taxis Origin and Destination Data

2021 ◽  
Vol 13 (7) ◽  
pp. 3727
Author(s):  
Fatema Rahimi ◽  
Abolghasem Sadeghi-Niaraki ◽  
Mostafa Ghodousi ◽  
Soo-Mi Choi
Keyword(s):  
Regression Analysis ◽  
Mean Squared Error ◽  
Population Distribution ◽  
Temporal Distribution ◽  
Coefficient Of Determination ◽  
Temporal Modeling ◽  
Location Data ◽  
Time Period ◽  
Proposed Model

During dangerous circumstances, knowledge about population distribution is essential for urban infrastructure architecture, policy-making, and urban planning with the best Spatial-temporal resolution. The spatial-temporal modeling of the population distribution of the case study was investigated in the present study. In this regard, the number of generated trips and absorbed trips using the taxis pick-up and drop-off location data was calculated first, and the census population was then allocated to each neighborhood. Finally, the Spatial-temporal distribution of the population was calculated using the developed model. In order to evaluate the model, a regression analysis between the census population and the predicted population for the time period between 21:00 to 23:00 was used. Based on the calculation of the number of generated and the absorbed trips, it showed a different spatial distribution for different hours in one day. The spatial pattern of the population distribution during the day was different from the population distribution during the night. The coefficient of determination of the regression analysis for the model (R2) was 0.9998, and the mean squared error was 10.78. The regression analysis showed that the model works well for the nighttime population at the neighborhood level, so the proposed model will be suitable for the day time population.

scholarly journals A Multimethod Analysis for Average Annual Precipitation Mapping in the Khorasan Razavi Province (Northeastern Iran)

Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 592
Author(s):  
Mehdi Aalijahan ◽  
Azra Khosravichenar
Keyword(s):  
Regional Planning ◽  
Interpolation Method ◽  
Absolute Error ◽  
Rain Gauge ◽  
Annual Precipitation ◽  
Coefficient Of Determination ◽  
Distance Weighting ◽  
Average Annual Precipitation ◽  
Inverse Distance

The spatial distribution of precipitation is one of the most important climatic variables used in geographic and environmental studies. However, when there is a lack of full coverage of meteorological stations, precipitation estimations are necessary to interpolate precipitation for larger areas. The purpose of this research was to find the best interpolation method for precipitation mapping in the partly densely populated Khorasan Razavi province of northeastern Iran. To achieve this, we compared five methods by applying average precipitation data from 97 rain gauge stations in that province for a period of 20 years (1994–2014): Inverse Distance Weighting, Radial Basis Functions (Completely Regularized Spline, Spline with Tension, Multiquadric, Inverse Multiquadric, Thin Plate Spline), Kriging (Simple, Ordinary, Universal), Co-Kriging (Simple, Ordinary, Universal) with an auxiliary elevation parameter, and non-linear Regression. Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and the Coefficient of Determination (R2) were used to determine the best-performing method of precipitation interpolation. Our study shows that Ordinary Co-Kriging with an auxiliary elevation parameter was the best method for determining the distribution of annual precipitation for this region, showing the highest coefficient of determination of 0.46% between estimated and observed values. Therefore, the application of this method of precipitation mapping would form a mandatory base for regional planning and policy making in the arid to semi-arid Khorasan Razavi province during the future.

scholarly journals Comparison of the Concentration of Risk Elements in Alluvial Soils Determined by pXRF In Situ, in the Laboratory, and by ICP-OES

Agronomy ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 938
Author(s):  
Ladislav Menšík ◽  
Lukáš Hlisnikovský ◽  
Pavel Nerušil ◽  
Eva Kunzová
Keyword(s):  
Precision Agriculture ◽  
Alluvial Soil ◽  
Coefficient Of Determination ◽  
Fast Method ◽  
Agricultural Practice ◽  
Regression Equations ◽  
Icp Oes ◽  
Risk Elements ◽  
The Relationship

The aim of the study was to compare the concentrations of risk elements (As, Cu, Mn, Ni, Pb, Zn) in alluvial soil, which were measured by a portable X-ray fluorescence analyser (pXRF) in situ (FIELD) and in the laboratory (LABORATORY). Subsequently, regression equations were developed for individual elements through the method of construction of the regression model, which compare the results of pXRF with classical laboratory analysis (ICP-OES). The accuracy of the measurement, expressed by the coefficient of determination (R2), was as follows in the case of FIELD–ICP-OES: Pb (0.96), Zn (0.92), As (0.72), Mn (0.63), Cu (0.31) and Ni (0.01). In the case of LABORATORY–ICP-OES, the coefficients had values: Pb (0.99), Zn (0.98), Cu and Mn (0.89), As (0.88), Ni (0.81). A higher dependence of the relationship was recorded between LABORATORY–ICP-OES than between FIELD–ICP-OES. An excellent relationship was recorded for the elements Pb and Zn, both for FIELD and LABORATORY (R2 higher than 0.90). The elements Cu, Mn and As have a worse tightness in the relationship; however, the results of the model have shown its applicability for common use, e.g., in agricultural practice or in monitoring the quality of the environment. Based on our results, we can say that pXRF instruments can provide highly accurate results for the concentration of risk elements in the soil in real time for some elements and meet the principle of precision agriculture: an efficient, accurate and fast method of analysis.

scholarly journals A NON-DESTRUCTIVE METHOD FOR ESTIMATING LEAF AREA OF Ceiba glaziovii (Kuntze) K. Schum.

FLORESTA ◽  
2019 ◽  
Vol 50 (1) ◽  
pp. 1063
Author(s):  
João Everthon da Silva Ribeiro ◽  
Francisco Romário Andrade Figueiredo ◽  
Ester Dos Santos Coêlho ◽  
Walter Esfrain Pereira ◽  
Manoel Bandeira de Albuquerque
Keyword(s):  
Leaf Area ◽  
Regression Models ◽  
Information Criterion ◽  
Coefficient Of Determination ◽  
Linear Measurements ◽  
Maximum Width ◽  
Bias Index ◽  
Different Shapes ◽  
Non Destructive

The determination of leaf area is of fundamental importance in studies involving ecological and ecophysiological aspects of forest species. The objective of this research was to adjust an equation to determine the leaf area of Ceiba glaziovii as a function of linear measurements of leaves. Six hundred healthy leaf limbs were collected in different matrices, with different shapes and sizes, in the Mata do Pau-Ferro State Park, Areia, Paraíba state, Northeast Brazil. The maximum length (L), maximum width (W), product between length and width (L.W), and leaf area of the leaf limbs were calculated. The regression models used to construct equations were: linear, linear without intercept, quadratic, cubic, power and exponential. The criteria for choosing the best equation were based on the coefficient of determination (R²), Akaike information criterion (AIC), root mean square error (RMSE), Willmott concordance index (d) and BIAS index. All the proposed equations satisfactorily estimate the leaf area of C. glaziovii, due to their high determination coefficients (R² ≥ 0.851). The linear model without intercept, using the product between length and width (L.W), presented the best criteria to estimate the leaf area of the species, using the equation 0.4549*LW.

scholarly journals The Effect of Financial Leverage, Operating Leverage and Current Ratio on Profitability at PT. Manunggal Persada Jakarta

2019 ◽  
Vol 3 (2) ◽  
pp. 135
Author(s):  
Waluyo Jati
Keyword(s):  
Hypothesis Testing ◽  
Regression Coefficient ◽  
Sampling Technique ◽  
Coefficient Of Determination ◽  
Analysis Tool ◽  
Financial Leverage ◽  
Current Ratio ◽  
Independent Variable ◽  
Operating Leverage

Funds can be obtained from company owners or from outside parties. The purpose of this study was to determine the effect of financial leverage, operating leverage and current ratio on profitability at PT. Manunggal Persada Jakarta. The method used in this research is descriptive with an associative approach, the sampling technique used is proportional random sampling using the census or saturated sampling method with a sample of 7 years of financial statements. The analysis tool uses classical assumption testing, regression testing, determination coefficient testing and hypothesis testing. The results of the study concluded that the regression coefficient value of Financial leverage of 0.005 was positive with a contribution of 19.3%. Hypothesis testing obtained a significance value of 0.324> 0.05. Regression coefficient value of Operating leverage of 0.001 is positive with a contribution of 16.5%. Hypothesis testing obtained a significance value of 0.368> 0.05. Current coefficient regression value of 0.158 is positive with a contribution of 31.9%. Hypothesis testing obtained a significance value of 0.187> 0.05. Obtained a regression equation Y = 0.110 + 0.009X1 + 0.001X2 + 0.177X3, the regression coefficient value of each positive independent variable with a correlation of 0.927 and a coefficient of determination of 85.8% while the remaining 14.2% is influenced by other factors. Hypothesis testing obtained by calculating Fcount> Ftable or (6.064> 4.120). Thus simultaneously there is a positive and significant effect between financial leverage, operating leverage and current ratio to rentability.

scholarly journals The Influence Of International Brand Image Toward Guest's Decision To Stay At The Four Star Hotel In Lampung

2021 ◽  
Vol 4 (1) ◽  
pp. 38
Author(s):  
Dina Mayasari Soewoyo ◽  
Handono W Widodo
Keyword(s):  
Brand Image ◽  
Linear Regression Analysis ◽  
Software Tool ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Analysis Technique ◽  
Independent Variable ◽  
Decision To Stay ◽  
Decisions To Stay

<div class="WordSection1"><p>This survey research using the quantitative method was carried out during the Covid-19 pandemic, from May to August 2020 at the 4-star hotel in Lampung Province, Indonesia. The purpose of this study was to determine the influence of the independent variable, namely the image of the international hotel brand toward the dependent variable of guests' decisions to stay at the hotel. Primary data of the study were obtained from the results of distributing questionnaires which were carried out directly to 60 guests who were staying, as research samples and measured using a Likert scale of 1 - 4. Apart from distributing questionnaires, research data collection was also gained through observation, documentation, and literature review. All data collected were then grouped, reduced, tabulated and processed, analyzed descriptively, and statistically, in accordance with the context of the problem being studied using the SPSS 22.0 software tool.</p><p>Based on the simple linear regression analysis technique T-test (partial), R test and R square test, it was found that the value of T count (9,048) was greater than the T table (1,671), with a significance value of 0 or below the significance limit of 0.05. Both variables have a correlation coefficient of 0.765 and a coefficient of determination of 0.585. So it can be concluded that the international hotel brand image has a strong, positive, and significant influence on guest decisions to stay at the 4-star hotel in Lampung, with an effect of 58.5% while the rest, namely 41.5%, is influenced by other variables not examined in this study.</p></div><br clear="all" /><p><em> </em></p>

scholarly journals Kontribusi Penguasaan Semantik terhadap Kemampuan Membaca Pemahaman Mahasiswa IIPK Universitas Negeri Padang

2012 ◽  
Vol 13 (1) ◽  
Author(s):  
Afnita .
Keyword(s):  
Reading Comprehension ◽  
Significant Relationship ◽  
Information Science ◽  
Coefficient Of Determination ◽  
Library And Information Science ◽  
Reading Texts

This study aims to determine the contribution of semantic mastery to the ability of the Archives, Library and Information Science (IIPK) students in comprehending the reading texts. The result of this study indicates that the semantic mastery has a positive and significant relationship (with a coefficient of determination of 0.524). This means that the reading comprehension of IIPK students of UNP is 25.4% determined by mastery of semantics, and the remaining 74.6% is determined by other factors. Keywords: semantic mastery, reading comprehension, contribution

scholarly journals Photostability study of amlodipine besylate tablets packed in primary packaging

2021 ◽  
Vol 10 (1) ◽  
pp. 20-28
Author(s):  
Ivana Savić-Gajić ◽  
Ivan Savić ◽  
Predrag Sibinović ◽  
Valentina Marinković
Keyword(s):  
Mobile Phase ◽  
Limit Of Detection ◽  
Degradation Products ◽  
Hplc Method ◽  
Coefficient Of Determination ◽  
Amlodipine Besylate ◽  
Limit Of Quantification ◽  
First Order Kinetics ◽  
The Given

In this study, the modified stability-indicating RP-HPLC method was validated for quantitative analysis of amlodipine besylate in the presence of its impurity D (3-ethyl 5-methyl 2-[(2-aminoethoxy)methyl]-4-(2-chlorophenyl)-6-methylpyridine-3,5-dicarboxylate). The method was applied for the determination of an analyte in the tablets and irradiated samples packed in the primary packaging (Alu/PVC/PVDC blister packaging). The efficient chromatographic separation was achieved using a ZORBAX Eclipse XDB-C18 column (4.6×250 mm, 5 mm) with isocratic elution of mobile phase which consisted of acetonitrile:methanol:triethylamine solution (15:35:50, v/v/v) (pH 3.0). The flow rate of the mobile phase was 1 mL min-1, while the detection of amlodipine besylate was carried out at 273 nm. Amlodipine besylate and its impurity D were identified at the retention times of 16.529 min and 2.575 min, respectively. The linearity of the method with the coefficient of determination of 0.999 was confirmed in the concentration range of 10 - 75 µg mL-1 for amlodipine besylate. The limit of detection was 0.2 µg mL-1, while the limit of quantification was 0.66 µg mL-1. After UV and Vis radiation of the tablets packed in the primary packaging, the content of amlodipine besylate was reduced by 22.38% and 19.89%, respectively. The presence of new degradation products was not detected under the given chromatographic conditions. The photodegradation of amlodipine besylate followed pseudo-first-order kinetics. Based on the half-life of amlodipine besylate (38.4 days for UV radiation and 43.3 days for Vis radiation), it was concluded that amlodipine besylate in the tablets has satisfactory photostability after its packing in the Alu/PVC/PVDC blister packaging.

scholarly journals Pengaruh Kualitas Produk dan Harga Terhadap Minat Beli Beras Selancar (Studi Kasus pada Ibu Rumah Tangga di Kota Baru Jalan Kapten Satar RT.10 RW.03 Kecamatan Lahat)

2020 ◽  
Vol 9 (2) ◽  
pp. 1-12
Author(s):  
Darwin Kesuma
Keyword(s):  
Product Quality ◽  
Purchase Intention ◽  
Statistical Data ◽  
Regression Coefficient ◽  
Coefficient Of Determination ◽  
Statistical Data Analysis ◽  
Joint Influence ◽  
The Individual

The Effect of Product Quality and Price on Purchase Intention for Selancar Rice (Case Study on Housewives in Kota Baru Jalan Kapten Satar RT. 10 RW. 03 Lahat). This research was conducted on housewives located at Jalan Kapten Satar RT 10 RW 03 No. 25 Kelurahan Kota Baru, Lahat District. The research objective was to see the effect of the product and price on buying interest in surfing rice. The regression equation Y = 10.588 + 0.453 X1 + 0.339 X2 + e. Based on statistical data analysis, the indicators in this study are valid and reliable. The individual order of each variable with the most influence is the product quality variable with a regression coefficient of 0.453 then the price variable with a regression coefficient of 0.339. Obtained t count variable product quality (X1) of 2.658> 2.011 and variable price (X2) obtained at 2.905> 2.011. This means that t is greater than t table, then H_0 is rejected and H1 is accepted. Obtained an F calculated value of 7.009> 3.20 so that it can be ignored that there is a simultaneous (joint) influence between product quality (X1) and price (X2) on buying interest (Y) of surfing rice. Analysis of the coefficient of determination of 23% means that there is a very weak relationship between the independent variables and the related variables and the rest is 77%. By other factors that are not discussed in this study.

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