Concerns with Minimal Processing in Apple, Citrus, and Vegetable Products

Author(s):  
Kathleen Rajkowski ◽  
Elizabeth Baldwin
2018 ◽  
pp. 113-121
Author(s):  
S. Senotrusova ◽  
V. Svinukhov ◽  
E. Kovalyova
Keyword(s):  

2019 ◽  
Vol 2 (4) ◽  
pp. 48-53
Author(s):  
Imomov Jamshidxon Odilovich

This article examines the role and importance of agriculture in the economy of the Republic of Uzbekistan and demonstrates the need to improve the competitiveness of fruit and vegetable products in future economic reforms and the need for implementing a network management system. The SWOT method also shows the prospects and ways to increase the competitiveness of fruits and vegetables in the global agrarian and food markets.


Author(s):  
Yu.I. Agirbov ◽  
◽  
R.R. Mukhametzyanov ◽  
E.V. Britik ◽  
◽  
...  

In 1961-2018 in the world as a whole, the gross harvest of potatoes increased from 290.6 million tons to 368.2 million tons, that is, 1.36 times. Over the same period, the production of vegetables and food melons increased from 197.7 million tons to 1,088.8 million tons (5.51 times), and fruits and berries from 199.9 million tons to 867.8 million tons (4.34 times). In a number of states in 1992-2018 the corresponding increase significantly exceeded the average values for the world as a whole, as a result of which their place in the global ranking increased, and the positions of some traditional producers of potatoes and fruits and vegetables decreased. For example, in terms of gross harvest of potatoes in 1992, Russia was in first place, and Poland was in third, while in 2018 they were in 4th and 9th positions, respectively. In terms of vegetable production, Italy and Japan were displaced from 4th and 5th places, which were taken by Turkey and Nigeria. In terms of gross harvests of fruits and berries, Turkey occupied the fifth position in total world production by 2018, although in 1992 it belonged to Italy. Quantitative and qualitative changes inevitably have a significant impact on both the volume of the world market and the parameters of international trade in potatoes, vegetables and melons, fruits and berries. Processes in foreign economic liberalization and economic integration contributed to an increase in the specialization and concentration of production of relevant plants in countries with more favorable natural and climatic conditions, as well as a gradual increase in demand for potatoes, vegetables and melons, fruits and berries from a number of states, including those that used to meet the needs of their population in large volumes at the expense of their own producers. The Russian Federation is one of the significant players in the world potato and fruit and vegetable market. Despite the increase in gross fruit and vegetable production in recent years, Russia’s positions in the global rating dropped from 7th to 10th place in vegetables and melons, from 20th to 31st place in fruits and berries. As for potatoes, there was a decrease in the volume of its production, as a result, Russia dropped from 1st place in 1992 to 4th place in 2018.


Author(s):  
Soumya Ranjan Nayak ◽  
S Sivakumar ◽  
Akash Kumar Bhoi ◽  
Gyoo-Soo Chae ◽  
Pradeep Kumar Mallick

Graphical processing unit (GPU) has gained more popularity among researchers in the field of decision making and knowledge discovery systems. However, most of the earlier studies have GPU memory utilization, computational time, and accuracy limitations. The main contribution of this paper is to present a novel algorithm called the Mixed Mode Database Miner (MMDBM) classifier by implementing multithreading concepts on a large number of attributes. The proposed method use the quick sort algorithm in GPU parallel computing to overcome the state of the art limitations. This method applies the dynamic rule generation approach for constructing the decision tree based on the predicted rules. Moreover, the implementation results are compared with both SLIQ and MMDBM using Java and GPU with the computed acceleration ratio time using the BP dataset. The primary objective of this work is to improve the performance with less processing time. The results are also analyzed using various threads in GPU mining using eight different datasets of UCI Machine learning repository. The proposed MMDBM algorithm have been validated on these chosen eight different dataset with accuracy of 91.3% in diabetes, 89.1% in breast cancer, 96.6% in iris, 89.9% in labor, 95.4% in vote, 89.5% in credit card, 78.7% in supermarket and 78.7% in BP, and simultaneously, it also takes less computational time for given datasets. The outcome of this work will be beneficial for the research community to develop more effective multi thread based GPU solution in GPU mining to handle large set of data in minimal processing time. Therefore, this can be considered a more reliable and precise method for GPU computing.


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