scholarly journals Correlations between delayed fluorescence of chlorophyll, metabolism and yield of plants. III. Influence of viral infection on field plants and new technology of clone selection of virus-free planting potato

2010 ◽  
Vol 01 (01) ◽  
pp. 58-63 ◽  
Author(s):  
Armen B. Avagyan
Planta Medica ◽  
2015 ◽  
Vol 81 (16) ◽  
Author(s):  
R Bertóti ◽  
Á Alberti ◽  
A Böszörményi ◽  
R Könye ◽  
T Horváth ◽  
...  

Author(s):  
О. А. Примаков

Розкривається питання обґрунтування раціональ-ної схеми збирання льону-довгунця із застосуван-ням сільськогосподарських машин загального при-значення. Проведено вибір необхідних та достат-ніх технологічних операцій для збирання льону-довгунця за новою технологією з аналізом кожного окремого елемента. При виборі технічних засобів для збирання льону акцент зроблено не на спеціа-льні льонозбиральні машини, а на техніку, що за-стосовується для збирання інших культур; це ро-бить технологію більш доступною для широкого кола сільгоспвиробників. На основі обґрунтування обраного комплексу технічних засобів складено первинну модель технологічної схеми збирання посіву льону-довгунця. The article reveals the issues of a rational scheme of harvesting flax with the use of agricultural machines for general use. The adequate selection of the necessary and sufficient technical operations for flax harvesting on new technology has been done. When choosing machines for the harvesting of flax a great attention is paid not to special flax pullers but to equipment that is used to harvest other crops, making the technology more accessible to a wide range of manufacturers.


Nafta-Gaz ◽  
2021 ◽  
Vol 77 (3) ◽  
pp. 208-214
Author(s):  
Michał Pajda ◽  
◽  
Wojciech Mazela ◽  

The aim of the work was to present the issue of eco-efficiency, based on the PN-EN ISO 14045:2012 standard in relation to the production of fatty acid methyl esters (FAME). The ecoefficiency analysis takes into account economic and environmental aspects in the improvement of products and processes / technologies. Eco-efficiency considers the product and technology throughout the life cycle, from the construction phase, through use to decommissioning. The impact on the natural environment is assessed on the basis of: consumption of energy, materials, dust and gas emissions, waste and sewage. Total costs include: production costs, raw material costs, costs during the use phase including maintenance, repair and operating costs, product disposal or recycling. The eco-efficiency analysis is helpful in making decisions regarding the selection of a new product or designing a new technology, and enables the selection of the variant that is the most economical and has the least possible impact on the natural environment. These issues are particularly important in the case of biofuels. The rapid growth of their production and the European Union’s policy, which aims to increase the share of energy from renewable sources, cause concerns of many experts regarding the threats related to the production of biofuels, both for the environment and food security. In particular, efforts are made to minimize the amount of waste and residues by implementing the idea of a circular economy. This approach promotes the development of new technologies that are more environmentally friendly. Due to the regulations set out in the RED and RED II Directives, there is a chance that the biofuels will have a less negative impact on the environment. This results from the obligation to certify compliance with the sustainability criteria, which is carried out by voluntary systems recognized by the European Commission, such as the KZR INiG System.


Author(s):  
Milena Vukić ◽  
Snežana Milićević ◽  
Ksenija Vukić

Purpose of this paper is to determine how students perceive the image of their faculty on social networks, but also to analyse their experience and attitudes towards faculty social media strategy. The research was implemented using descriptive statistic techniques, as well as non-parametric tests such as Mann-Whitney U Test, Kruskal-Wallis H Test and Spearman’s Rho. The most common source of information when it comes to enrolment to faculty is word of mouth, while social media have a signifi-cantly lower credibility. During their schooling the respondents have most confidence in the official website, and far less in social networks. Such findings signalize the necessity of creating an adequate digital marketing strategy that can significantly improve the perceived faculty image. Positive perception of the image is fundamental for understanding the process of searching for and selection of the faculty, especially since the results have shown that the students do not value highly the image their faculties have on social networks. Positive perception of faculty image mostly depends on promotion strategy on Facebook and Insta-gram, and far less on LinkedIn and Twitter. In addition, students value more the image of the faculty whose social network pro-file they follow and, in a case, when they are followed back. No correlation was found between faculty image and gender, age or average grade. Therefore, we can conclude that social networks are very important in creating positive image and thanks to new technology, they are a promising solution for differentiation from competition in digital space.


1998 ◽  
Vol 48 (2) ◽  
pp. 113-127 ◽  
Author(s):  
Sirkka Juhanoja ◽  
Minna Heikkilä ◽  
Arja Virtanen

2020 ◽  
pp. 78-88
Author(s):  
Muhammad Naveed Jafar ◽  
Ahmad Raza Shafiq ◽  
Muhammad Khalid ◽  
Hamza Akbar ◽  
Aamir Naveed ◽  
...  

Uncertainty is a big problem in our routine life. Many theories were developed to handle uncertain environments. This paper approaches the concept of neutrosophic soft matrices (NSM) and multiple types of NSM to achieve solutions to a possible problem and provide ideas to tackle other problems relating to uncertainties. Here, NSM has been utilized to demonstrate the performance of different farmers, and further score function has been implemented to solve a possible application of decision making in agriculture. It explains the selection of the best farmer by scientific experts through an algorithm in this paper. The selection based upon the better production of crop and nature, fertilizer, pesticides, etc. are used as attributes, which will contribute to the performance of each farmer. Finally, combining the attributes, which will help us achieve a conclusion to determine the best farmer.


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