scholarly journals Application of digital engineering methods in the agro-industrial complex on the example of crop productivity forecasting

2021 ◽  
Keyword(s):  
Performance Indicators ◽  
Prognostic Model ◽  
Crop Productivity ◽  
Apple Orchard ◽  
Industrial Complex ◽  
Agricultural Crop ◽  
Cumulative Yield ◽  
Forecast Result ◽  
Digital Engineering ◽  
Better Than

The research is dedicated to the development of a method for quantifying the productivity of an agricultural crop with a long lifespan (using the example of an apple orchard). To achieve this goal, the possibility of predicting the yield of an apple orchard was evaluated using existing techniques and methods of data analysis; agrotechnical significant time points in the life cycle of an apple orchard were identified; a prognostic model was formed that simultaneously satisfies biological and agrotechnical constraints and provides the maximum tier of reliability of the yielding forecast result available for the crop under consideration. It is shown that the cumulative yield of an apple orchard lends itself to forecasting much better than the dynamics of the annual yield. As a consequence, in strategic planning in the agricultural and industrial complex, it makes sense to focus on integral performance indicators that level out deviations caused to varying degrees by random causes.

scholarly journals Rising Atmospheric Temperature Impact on Wheat and Thermotolerance Strategies

Plants ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 43
Author(s):  
Adeel Khan ◽  
Munir Ahmad ◽  
Mukhtar Ahmed ◽  
M. Iftikhar Hussain
Keyword(s):  
High Temperature ◽  
Industrial Revolution ◽  
Foliar Application ◽  
Pollen Viability ◽  
Grain Filling ◽  
Crop Productivity ◽  
Potassium Nitrate ◽  
Agricultural Crop ◽  
Stay Green ◽  
Seed Formation

Temperature across the globe is increasing continuously at the rate of 0.15–0.17 °C per decade since the industrial revolution. It is influencing agricultural crop productivity. Therefore, thermotolerance strategies are needed to have sustainability in crop yield under higher temperature. However, improving thermotolerance in the crop is a challenging task for crop scientists. Therefore, this review work was conducted with the aim of providing information on the wheat response in three research areas, i.e., physiology, breeding, and advances in genetics, which could assist the researchers in improving thermotolerance. The optimum temperature for wheat growth at the heading, anthesis, and grain filling duration is 16 ± 2.3 °C, 23 ± 1.75 °C, and 26 ± 1.53 °C, respectively. The high temperature adversely influences the crop phenology, growth, and development. The pre-anthesis high temperature retards the pollen viability, seed formation, and embryo development. The post-anthesis high temperature declines the starch granules accumulation, stem reserve carbohydrates, and translocation of photosynthates into grains. A high temperature above 40 °C inhibits the photosynthesis by damaging the photosystem-II, electron transport chain, and photosystem-I. Our review work highlighted that genotypes which can maintain a higher accumulation of proline, glycine betaine, expression of heat shock proteins, stay green and antioxidant enzymes activity viz., catalase, peroxidase, super oxide dismutase, and glutathione reductase can tolerate high temperature efficiently through sustaining cellular physiology. Similarly, the pre-anthesis acclimation with heat treatment, inorganic fertilizer such as nitrogen, potassium nitrate and potassium chloride, mulches with rice husk, early sowing, presoaking of a 6.6 mM solution of thiourea, foliar application of 50 ppm dithiothreitol, 10 mg per kg of silicon at heading and zinc ameliorate the crop against the high temperature. Finally, it has been suggested that modern genomics and omics techniques should be used to develop thermotolerance in wheat.

scholarly journals Reinforcement learning versus swarm intelligence for autonomous multi-HAPS coordination

2021 ◽  
Vol 3 (6) ◽  
Author(s):  
Ogbonnaya Anicho ◽  
Philip B. Charlesworth ◽  
Gurvinder S. Baicher ◽  
Atulya K. Nagar
Keyword(s):  
Reinforcement Learning ◽  
State Space ◽  
Swarm Intelligence ◽  
Performance Indicators ◽  
Convergence Rates ◽  
Tuning Parameters ◽  
Continuous State Space ◽  
Continuous State ◽  
User Coverage ◽  
Better Than

AbstractThis work analyses the performance of Reinforcement Learning (RL) versus Swarm Intelligence (SI) for coordinating multiple unmanned High Altitude Platform Stations (HAPS) for communications area coverage. It builds upon previous work which looked at various elements of both algorithms. The main aim of this paper is to address the continuous state-space challenge within this work by using partitioning to manage the high dimensionality problem. This enabled comparing the performance of the classical cases of both RL and SI establishing a baseline for future comparisons of improved versions. From previous work, SI was observed to perform better across various key performance indicators. However, after tuning parameters and empirically choosing suitable partitioning ratio for the RL state space, it was observed that the SI algorithm still maintained superior coordination capability by achieving higher mean overall user coverage (about 20% better than the RL algorithm), in addition to faster convergence rates. Though the RL technique showed better average peak user coverage, the unpredictable coverage dip was a key weakness, making SI a more suitable algorithm within the context of this work.

Effects of free-range chickens and geese on insect pests and weeds in an agroecosystem

1996 ◽  
Vol 11 (1) ◽  
pp. 39-47 ◽  
Author(s):  
M. Sean Clark ◽  
Stuart H. Gage
Keyword(s):  
Insect Pests ◽  
Bird Species ◽  
Soil Surface ◽  
Crop Productivity ◽  
Apple Fruit ◽  
Apple Orchard ◽  
Japanese Beetle ◽  
Plum Curculio ◽  
Free Range ◽  
Domestic Bird

AbstractWe evaluated the effects of free-range chickens and geese on insect pests and weeds in an experimental, nonchemical agroecosystem consisting of an apple orchard with intercropped potatoes. The objective was to assess the potential of these domestic bird species as biological control agents. Four insect pests were studied: plum curculio, apple maggot, Japanese beetle, and Colorado potato beetle. Chickens fed on several potential crop pests, including Japanese beetle. Although Japanese beetles were less abundant on apple trees when chickens were present, the proportion of damaged fruit was not reduced. Furthermore, chickens did not affect weed abundance or crop productivity. In contrast, geese were effective weeders. Their activities reduced weed abundance and increased potato plant growth and yields compared with a minimally weeded control. In addition, the activities of geese indirectly reduced apple fruit damage by plum curculio and increased the proportion of pest-free fruit, possibly because removal of vegetation by the geese reduced humidity at the soil surface and therefore reduced the activity of plum curculio.

scholarly journals Optimizing Rotavator Design Towards Enhancing Agricultural Crop Productivity

2019 ◽  
Vol 8 (2) ◽  
pp. 48-52
Keyword(s):  
Crop Production ◽  
Agricultural Land ◽  
Organic Fertilizer ◽  
Cost Effective ◽  
Crop Productivity ◽  
Pigeon Pea ◽  
Chemical Fertilizer ◽  
Cost Ratio ◽  
Agricultural Crop ◽  
Seedbed Preparation

By continuous and rapid growth in industrialization as well as population, the agricultural lands are also becoming less and less continuously day by day which results in increase in the population of small land holders. In addition to this, because of continuous decreasing production the youth of the villages are also migrating in big cities for the employment, resulting decreasing manpower essential to perform various seedbed operations in the villages. Hence, it is the need of time for small farmers having small agricultural land and having less crop production to introduce the cost-effective farm mechanization so that they can improve production rate. Rotavator is the best option available to achieve this landmark as it is already proved that seedbed prepared by using rotavator gives highest benefit to cost ratio. For this experimental study the whole land of 9 acre area is divided into 18 plots of equal size in area. The combination of method of seedbed preparation and use of fertilizers were the preliminary criteria. The categories of fertilizer according to quantity are discussed earlier which are 50kg, 35kg and 65kg per acre respectively. The quantities of organic fertilizer used are 45kg and 60kg per acre of agricultural land for both seedbeds which are prepared manually and by using rotavator. The highest production of Pigeon Pea was obtained of 814kg was from the plot whose seedbed is prepared by using agricultural machine called rotavator and organic fertilizer; next highest production is obtained of 802 kg from the plot whose seedbed is prepared by using rotavator and the fertilizer used was chemical fertilizer. The minimum production of Pigeon Pea which is 690 kg was obtained in the plot whose seedbed was prepared manually and chemical fertilizer was used.

Nationalism

2010 ◽  
Author(s):  
Peter Baldwin
Keyword(s):  
Industrial Complex ◽  
Advertising Agencies ◽  
Military Industrial Complex ◽  
The World ◽  
Close Relationship ◽  
Selling Point ◽  
Better Than ◽  
Made In

Americans Are Patriotic And Nationalist, but not more than some Europeans (figure 173). Unsurprisingly, Germans are least proud of their nation, and rather unexpectedly and cheerily, the Portuguese—not the Americans—are most proud, with the Irish tied for second place. A 2007 survey reveals that a larger proportion of Italians consider their culture superior than any other nationalities surveyed, including the Americans. Another survey finds that only the Irish feel more uniformly proud to be of their nation. Proportionately more Austrians, Irish, French, and Danes claim they feel very close to their nation than do Americans. Americans are more likely than any Europeans to think that their country is better than most others. But proportionately more Portuguese, Danes, and Spaniards feel that the world would be improved if other people were like them. And any U.S. tendency to boosterism is tempered by the finding that a larger fraction of Americans admits that certain aspects of their country shame them than do the Germans, Austrians, Spanish, French, Danes, or Finns. No country more robustly projects its own nationalist aspirations in the products it sells abroad than the supposedly postnational Swedes. Swedish manufacturers, or at least their advertising agencies, seem convinced that the sheer fact of being Swedish is a selling point. Ikea’s walls are adorned with musings on the preternaturally close relationship between Swedes and nature that allegedly sets them apart from the rest of humanity, as are packets of Wasa crispbread. Asko’s slogan, “Made In Sweden,” is festooned prominently on its products. Though it does not necessarily inspire confidence that the company’s dishwashers are better than the competition, it certainly makes clear Asko’s national origins. Absolut Vodka’s tag—in uncharacteristically unidiomatic English—“Country of Sweden,” does much the same. Saab hawks its cars as “Born from Jets,” an unsubtle allusion to the company’s standing as a pillar of the Swedish military-industrial complex.

scholarly journals Management of port industrial complex development: environmental and project dimensions

2018 ◽  
Vol 193 ◽  
pp. 05055 ◽  
Author(s):  
Vlada Orlova ◽  
Igor Ilin ◽  
Svetlana Shirokova
Keyword(s):  
Performance Indicators ◽  
Research Process ◽  
Industrial Complex ◽  
Industrial Complexes ◽  
Complex Development ◽  
Process Methodology ◽  
Environmental Process ◽  
Institutional Aspects ◽  
Definition Of ◽  
Managerial Experience

Experience of the leading port industrial complexes indicated high socio-economic performance indicators. However, not every port becomes a basis for formation of a port industrial complex. In different countries, formation happens differently. According to the functional problems, Russian port industrial territories have a lack of development of managerial approaches to its formation and development. Overview of the development of Russian port industrial complexes shows that shortage of research on strategical management, including investment and institutional aspects, leads to an absence of methodological basis for engineering industrial port zones, as well as its strategical development. This requires detection of typical problems of the development of Russian and foreign port industrial complexes, definition of influencing factors, and systematization of managerial experience. During research process, methodology for system economic theory, which is best suited for a complicated territorial facility, was used. Such methodology considers interrelations among environmental, process, project, and object aspects. Namely, the problems of formation and development of port industrial complexes, as well as factors contributing to its growing potential, were identified and systematized in comparative order.

RANKING DEVELOPER CANDIDATES BY SOCIAL LINKS

2014 ◽  
Vol 17 (07n08) ◽  
pp. 1550005 ◽  
Author(s):  
QI XUAN ◽  
CHENBO FU ◽  
LI YU
Keyword(s):  
Social Networks ◽  
Open Source ◽  
Open Source Software ◽  
Performance Indicators ◽  
Temporal Networks ◽  
Successful Operation ◽  
Weighted Networks ◽  
Ranking Algorithms ◽  
The Future ◽  
Better Than

In open source software (OSS) projects, participants initially communicate with others and then may become developers if they are deemed worthy by the community. Recent studies indicate that the abundance of established social links of a participant is the strongest predictor to his/her promotion. Having reliable rankings of the candidates is key to recruiting and maintaining a successful operation of an OSS project. This paper adopts degree-based, PageRank, and Hits ranking algorithms to rank developer candidates in OSS projects based on their social links. We construct several types of social networks based on the communications between the participants in Apache OSS projects, then train and test the ranking algorithms in these networks. We find that, for all the ranking algorithms under study, the rankings of emergent developers in temporal networks are higher than those in cumulative ones, indicating that the more recent communications of a developer in a project are more important to predict his/her first commit in the project. By comparison, the simple degree-based and the PageRank ranking algorithms in temporal undirected weighted networks behave better than the others in identifying emergent developers based on four performance indicators, and are thus recommended to be applied in the future.

A New MAR-PM Image Filtering Algorithm

2014 ◽  
Vol 962-965 ◽  
pp. 2774-2777
Author(s):  
Wei Jiang ◽  
Ke Li
Keyword(s):  
Image Filtering ◽  
Diffusion Problem ◽  
The Other ◽  
Filtering Algorithm ◽  
Multi Scale ◽  
Forecast Result ◽  
Auto Regressive ◽  
Better Than

In order to solve the over-diffusion problem that often appeared in traditional PM filtering algorithm, a new PM model combined with multi-scale auto regressive (MAR) is proposed in the paper. Firstly, a series of multi-scale images can be got by MAR .Then all these images are filtered by traditional PM model and got a forecast distinct image. With this forecast result to readjust the coefficients of the PM model, the original images can be well filtered finally. The PSNR value is used to judge the efficiency, which shows the efficiency of the proposed new algorithm is much better than the other methods.

scholarly journals Use of buffer methods to estimate the potential acidity of Mato Grosso soils

2020 ◽  
Vol 44 ◽  
Author(s):  
Marcelo Ribeiro Vilela Prado ◽  
Milton Ferreira de Moraes ◽  
Fabrício Tomaz Ramos ◽  
Carlos Leandro Rodrigues do Santos ◽  
David Vilas Boas de Campos ◽  
...  
Keyword(s):  
Standard Method ◽  
Soil Analysis ◽  
Crop Productivity ◽  
The State ◽  
Buffer Solution ◽  
Mato Grosso ◽  
Santa Maria ◽  
Potential Acidity ◽  
Better Than

ABSTRACT Mato Grosso, with a total area of 903357 km², does not have an official methodology for estimating soil potential acidity (H + Al), and determination of H + Al using the standard method is onerous and time consuming. The objective of this study was to compare estimated values of H + Al determined using the standard calcium acetate method with those obtained using three buffer methods, namely, the Shoemaker, McLean, and Pratt (SMP) buffer, Sikora buffer, and Santa Maria buffer (SMB) methods, with samples of the main classes of cultivated soils in the state of Mato Grosso. A total of 196 soil samples were collected from the arable layer (0-20 cm) in agropastoral and adjacent native systems. Statistical models were obtained and compared with models used by laboratories that are hypothetically inadequate because there is no calibration for soils in the state. After laboratory analyses, the paired H + Al and equilibrium pH values corresponding to the equilibrium of each buffer solution (SMP buffer, SMB, and Sikora buffer) were subjected to nonlinear regression analysis (P < 0.05). The SMB method, which does not release pollutant residues into the environment, was better than the Sikora and SMP methods for replacing the standard method used in state laboratories for soil analysis, that is, H + Al (cm3 c dm-3) = 51.189 -25.70 ln(pHSMB) (R2 = 0.88, P < 0.0001). Thus, if laboratories use uncalibrated equations to estimate soil potential acidity, the recommended limestone correction will be underestimated or overestimated, which may compromise crop productivity in Mato Grosso.

scholarly journals Methodology for the development of key performance indicators and customer satisfaction for the transformation strategy of the industrial complex

2021 ◽  
pp. 100-112
Author(s):  
A. G. Boev
Keyword(s):  
Customer Satisfaction ◽  
Performance Indicators ◽  
Mutual Influence ◽  
Key Performance Indicators ◽  
Integrated System ◽  
Industrial Complex ◽  
General Description ◽  
Target Values ◽  
Industrial Complexes ◽  
Regions Of Russia

The article is devoted to the formation of key performance indicators (KPI) and customer satisfaction (CPI) for evaluating the implementation of strategies for the transformation of industrial complexes in the digital economy. The content of the KPI and CPI of the strategy for the transformation of the industrial complex as an integrated system of organizational, economic and sociological indicators is determined, allowing you to establish target quantitative values for the transformation and development of the most important elements, structures, processes and spheres of the enterprise, as well as to assess the degree of their achievement in operational and longterm periods. A methodology for the formation of KPI and CPI is proposed, a system and a scheme of mutual influence of these indicators are developed. The calculation procedure, data sources, and responsible performers for KPI and CPI are defined. Target values of KPI and CPI for industrial complexes from various regions of Russia have been developed. A general description of the mechanism for implementing KPI and CPI at enterprises is presented. 

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