An application of ranked set sampling for mean and median estimation using USDA crop production data

2005 ◽  
Vol 10 (3) ◽  
pp. 354-373 ◽  
Author(s):  
Chad E. Husby ◽  
Elizabeth A. Stasny ◽  
Douglas A. Wolfe
Keyword(s):  
Crop Production ◽  
Ranked Set Sampling ◽  
Production Data

scholarly journals On the accuracy of official Chinese crop production data: Evidence from biophysical indexes of net primary production

2020 ◽  
Vol 117 (41) ◽  
pp. 25434-25444 ◽  
Author(s):  
Gengyuan Liu ◽  
Xueqi Wang ◽  
Giovanni Baiocchi ◽  
Marco Casazza ◽  
Fanxin Meng ◽  
...  
Keyword(s):  
Primary Production ◽  
Data Quality ◽  
Crop Production ◽  
Net Primary Production ◽  
Production Data ◽  
Physical Factors ◽  
National Statistics ◽  
Rapid Economic Growth ◽  
Self Sufficiency ◽  
Economic Statistics

With rapid economic growth and urbanization, self-sufficiency in crop production has become central to China’s agriculture policy. Accurate crop production statistics are essential for research, monitoring, and planning. Although researchers agree that China’s statistical authority has considerably modernized over time, China’s economic statistics have still been viewed as unreliable and often overstated to meet growth targets at different administrative levels. Recent increases in crop production reported by national statistics have also come under increasing scrutiny. This paper investigates crop production data quality from a planetary boundary perspective—comparing net primary production (NPP) harvested obtained from national statistics with satellite-driven NPP estimates that are supported by detailed observation of land cover, combined with observations on physical factors that limit plant growth. This approach provides a powerful means to check the plausibility of China’s grain production statistics at different administrative levels that can generate insights about their discrepancies and can contribute to improved crop production measurements. We find some evidence of potential misreporting problems from the lower administration level where the risk of manipulation of statistics is higher. We also find problems from provincial-level major grain producers. These values can also affect the national totals. Although the numbers are affected by large uncertainties, we find that improving the spatial resolution of key agricultural parameters can greatly improve the reliability of the indicator that in turn can help improve data quality. More reliable production data will be vital for relevant research and provide better insights into food security problems, the carbon cycle, and sustainable development.

How reliable are crop production data? Case studies in USA and Argentina

Food Security ◽  
2014 ◽  
Vol 6 (4) ◽  
pp. 447-459 ◽  
Author(s):  
V. O. Sadras ◽  
P. Grassini ◽  
R. Costa ◽  
L. Cohan ◽  
A. J. Hall
Keyword(s):  
Case Studies ◽  
Crop Production ◽  
Production Data

Use Yield Ratios to Evaluate Effects of Supplemental Pollination on Crop Production

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 492b-492
Author(s):  
Thomas E. Ferrari
Keyword(s):  
Honey Bees ◽  
Crop Production ◽  
Production Data ◽  
Coefficients Of Variation ◽  
Large Fluctuations ◽  
Nut Production ◽  
Supplemental Pollination

The environment caused large fluctuations in almond yields from year-to-year, which confounded analysis of pollination treatments performed in the field. Following the practice of supplemental pollination, there was insufficient improvement in yield to indicate that extra pollen applied to honey bees affected nut production. However, when yield for a cultivar exposed to extra pollen was compared to an untreated, reference cultivar grown in the same field, a statistically significant increase in yield was detected. Coefficients of variation for yield ratios averaged 54% lower than for yields alone in each of eight orchards examined. Converting annual yields to yield ratios mitigated the effects of the environment on analysis of production data.

scholarly journals System-cognitive analysis of the economic efficiency of mechanical fallow treatment based on data from the electronic book of field history

2020 ◽  
Vol 222 ◽  
pp. 01003
Author(s):  
N.V. Stepnykh ◽  
S.D. Gilev ◽  
E.V. Nesterova ◽  
A.M. Zargaryan
Keyword(s):  
Crop Production ◽  
High Performance ◽  
Mechanical Treatment ◽  
Wheat Yield ◽  
Digital Tools ◽  
Production Data ◽  
Electronic Book ◽  
Agricultural Equipment ◽  
The Cost ◽  
Academy Of Sciences

The article presents a differentiated for each field economic analysis of the use of agricultural tools in the processing of fallow fields, conducted using digital tools developed by the authors. Production data from the the Kurgan Research Institute of Agriculture, a branch of the FSBSI Ural Federal Agrarian Research Center of the Ural Branch of the Russian Academy of Sciences for 2017-2019. Based on information from the electronic book of field history, the program for calculating process charts calculates the cost of fallow mechanical treatment. Methods of system-cognitive and statistical analysis were used to review the results. It was found that the greatest impact on the increase in costs was exerted by the total number of treatments and the use of low-productivity agricultural tools (BDT-3. KPS-4.2). To increase the yield of wheat, a greater number of treatments of BDM-6-4 and a smaller number of treatments of KPE-3.8 and KPS-4.2 had some advantage. The total number of mechanical fallow treatments did not correlate with the wheat yield obtained for the next year, but it had an impact on the profitability of crop production. To reduce the cost of fallow treatment, it is recommended to use high-performance agricultural equipment BDM-6-4 and anti-erosion cultivators KPE-3.8 (2 in the coupling), aggregated by the energy-intensive tractor HTZ-17221.

scholarly journals Spatial statistics applied to soybean production data from Paraná State for 2003-04 to 2009-10 crop-years

2014 ◽  
Vol 34 (4) ◽  
pp. 755-769 ◽  
Author(s):  
Victor H. R. Prudente ◽  
Carlos H. W. de Souza ◽  
Erivelto Mercante ◽  
Jerry A. Johann ◽  
Miguel A. Uribe-Opazo
Keyword(s):  
Crop Production ◽  
Spatial Relationship ◽  
Production Data ◽  
Time Interval ◽  
Distribution Analysis ◽  
Aggregate Level ◽  
Local Correlation ◽  
Department Of Agriculture ◽  
Significance Level ◽  
Soybean Production

In the current study, we performed a soybean production spatial distribution analysis in Paraná State. Seven crop-year data, from 2003-04 to 2009-10, obtained from the Paraná Department of Agriculture and Supply (SEAB) were used to develop a Boxmap for each crop-year, show soybean production throughout this time interval. Moran's index was used to measure spatial autocorrelation among municipalities at an aggregate level, while LISA index local correlation. For each index, different contiguity matrix and order were used and there was a significance level study. As a result, we have showed spatial relationship among cities regarding the production, which allowed the indication of high and low production clusters. Finally, identifying main soybean-producing cities, what may provide supply chain members with information to strengthen the crop production in Paraná.

Bok Choy, an Asian Leafy Green Vegetable Emerging in Florida

EDIS ◽  
2019 ◽  
Vol 2019 (6) ◽  
pp. 5
Author(s):  
Hai Liu ◽  
Guodong Liu
Keyword(s):  
Graduate Students ◽  
Crop Production ◽  
Health Benefits ◽  
Extension Agents ◽  
Vegetable Crops ◽  
Green Vegetable ◽  
General Overview

Asian vegetable crops are rapidly expanding in Florida in the last decade due to their health benefits combined with their high profitability. These crops can help increase vegetable growers’ income and diversify Florida’s crop production, and they are new to most Floridians. This new 5-page article provides a general overview of bok choy for vegetable growers, crop consultants, certified crop advisors, Extension agents, and graduate students. Written by Hai Liu and Guodong Liu and published by the UF/IFAS Horticultural Sciences Department.https://edis.ifas.ufl.edu/hs1337

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