Influence of agrometeorological component of the project environment on the duration of works in chemical protection projects of agricultural crops
Article Sidebar
Main Article Content
Abstract
The analysis of the state of science and practice of making managerial decisions in agricultural production projects is performed. The expediency of substantiation of the influence of the agrometeorological component of the project environment on the duration of works in the projects of chemical protection of agricultural crops is substantiated. The approach to the definition of fund of works time performance in projects of chemical protection of crops taking into account changing events of an agrometeorological component of the project environment is offered. It is based on the use of statistical data of agrometeorological stations in the regions where these projects are implemented. The peculiarity of this approach is that it provides for the formation of databases and knowledge for planning work in projects of chemical protection of agricultural crops based on the characteristics of a given project environment. To do this, computer simulation is used, which provides a systematic consideration of many variable agrometeorological components of the design environment and their impact on the limitation of the time allocated for work. This improves the quality of the database for forecasting the events of the components of the project environment, as well as gaining knowledge that underlies the acceleration of management decisions in projects of chemical protection of crops. It is established that the duration of agrometeorological determined daily fund of time for work in projects of chemical protection of agricultural crops is variable both during the life cycle of the project and in certain periods of its implementation, which is reflected by the relevant distribution laws. Further research on the planning of chemical protection projects for agricultural crops should be conducted to justify new methods and models of management decisions that will take into account the impact of changing events of the agrometeorological component of the project environment on the time and content of work in these projects.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
1. Proposal of Policy for Free Access Periodics
Authors whom publish in this magazine should agree to the following terms:
a. Authors should keep the copyrights and grant to the magazine the right of the first publication, with the work simultaneously permitted under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 that allows the sharing of the work with recognition of the authorship of the work and initial publication in this magazine.
b. Authors should have authorization for assuming additional contracts separately, for non-exclusive distribution of the version of the work published in this magazine (e.g.: to publish in an institutional repository or as book chapter), with recognition of authorship and initial publication in this magazine.
c. Authors should have permission and should be stimulated to publish and to distribute its work online (e.g.: in institutional repositories or its personal page) to any point before or during the publishing process, since this can generate productive alterations, as well as increasing the impact and the citation of the published work (See The Effect of Free Access).
Proposal of Policy for Periodic that offer Postponed Free Access
Authors whom publish in this magazine should agree to the following terms:
a. Authors should keep the copyrights and grant to the magazine the right of the first publication, with the work simultaneously permitted under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 [SPECIFY TIME HERE] after the publication, allowing the sharing of the work with recognition of the authorship of the work and initial publication in this magazine.
b. Authors should have authorization for assuming additional contracts separately, for non-exclusive distribution of the version of the work published in this magazine (e.g.: to publish in institutional repository or as book chapter), with recognition of authorship and initial publication in this magazine.
c. Authors should have permission and should be stimulated to publish and to distribute its work online (e.g.: in institutional repositories or its personal page) to any point before or during the publishing process, since this can generate productive alterations, as well as increasing the impact and the citation of the published work (See The Effect of Free Access).
d. They allow some kind of open dissemination. Authors can disseminate their articles in open access, but with specific conditions imposed by the editor that are related to:
Version of the article that can be deposited in the repository:
Pre-print: before being reviewed by pairs.
Post-print: once reviewed by pairs, which can be:
The version of the author that has been accepted for publication.
The editor's version, that is, the article published in the magazine.
At which point the article can be made accessible in an open manner: before it is published in the magazine, immediately afterwards or if a period of seizure is required, which can range from six months to several years.
Where to leave open: on the author's personal web page, only departmental websites, the repository of the institution, the file of the research funding agency, among others.
References
Bashynsky, O. (2019). Coordination of dairy workshops projects on the community territory and their project environment. In: 14-th International Scientific and Technical Conference on Computer Sciences and Information Technologies. Lviv Polytechnic National University, 17–20 September. Lviv, pp. 51–54.
Bazzaz, F., & Sombroek, W. (1996). Global climate change and agricultural production: direct and indirect effects of changing hydrological soil and plant physiological processes. FAO, Rome, Italy. Available at: http://www.fao.org/docrep/w5183e/w5183e00.htm#Contents
Boychenko, S., & Voloshchuk, V. (2007). The stochastic semi-empirical model of space-temporal transformation of the modern climate of Ukraine. National Academy of Science of Ukraine. 1, 105-109.
Fraisse, C. W., Breuer, N. E., Zierden, D., Bellow, J.G., Paz, J., Cabrera, V. E., & O'brien, J. J. (2006). AgClimate: a climate forecast information system for agricultural risk management in the southeastern USA. Computers and Electronics in Agriculture, 53(1), 13–27.
Hulida, E., Pasnak I., & Koval, O. (2019). Determination of the Critical Time of Fire in the Building and Ensure Successful Evacuation of People. Periodica Polytechnica Civil Engineering, 63(1), 308-316.
Islam, S., & Mandal, W.A. (2017). A fuzzy inventory model (EOQ model) with unit production cost, time depended holding cost, without shortages under a space constraint: a fuzzy parametric geometric programming (FPGP) approach. Independent Journal of Management & Production, 8(2), 299-318. DOI: 10.14807/ijmp.v8i2.535.
Ljaskovska, S., Martyn, Y., Malets, I., & Prydatko, O. (2018) Information technology of process modeling in the multiparameter systems. In: II International Conference on Data Stream Mining and Processing. Lviv Polytechnic National University, 21–25 August. Lviv, pp. 177–182.
Lobell, D., & Field, C. (2007). Global scale climate–crop yield relationships and the impacts of recent warming. Environ. Res. Lett. 2, 1-7.
Pavlikha, N., Rudynets, M., Grabovets, V., Skalyga, M., Tsymbaliuk, I., Khomiuk, N. & Fedorchuk-Moroz, V. (2019). Studying the influence of production conditions on the content of operations in logistic systems of milk collection. Eastern-European Journal of Enterprise Technologies: Control processes, 99(3/3), 50–63.
Ratushnyi, R., Khmel, P., Martyn, E., & Prydatko, O. (2019). Substantiating the effectiveness of projects for the construction of dual systems of fire suppression. Eastern-European Journal of Enterprise Technologies: Control processes, 100(4/3), 46–53.
Ratushny, R., Bashynsky, O., & Ptashnyk, V. (2019). Development and usage of a computer model of evaluating the scenarios of projects for the creation of fire fighting systems of rural communities. In: XI-th International Scientific and Practical Conference on Electronics and Information Technologies. Ivan Franko National University of Lviv, 16–18 September. Lviv, pp. 34–39.
Roy, P. C., Guber, A., Abouali, M., Pouyan Nejadhashemi, A., Deb, K., & Smucker, A. (2019). Crop yield simulation optimization using precision irrigation and subsurface water retention technology. Environmental Modelling & Software, 119, 433–444.
Rudynets, M., Pavlikha, N., Kytsyuk, I., Korneliuk, O., Fedorchuk-Moroz, V., & Seleznov, D. (2019). Establishing patterns of change in the indicators of using milk processing shops at a community territory. Eastern-European Journal of Enterprise Technologies: Control processes, 102(3/6), 57–65.
Serrano, I. V., Gonzalez–Hidalgo, S. M., De Luis, J. C., &Raventos, M. J. (2004). Drought patterns in the Mediterranean area: the Valencia region (eastern Spain). Climate Research. 26, 5-15.
Syrotiuk, V., Syrotiuk, S., Ptashnyk, V., Baranovych, S., Gielzecki, J., & Jakubowski, T. (2020). A hybrid system with intelligent control for the processes of resource and energy supply of a greenhouse complex with application of energy renewable sources. Przegląd elektrotechniczny, 96(7), 149-152.
Тryhuba, A. (2014) Argumentation of the parameters of the system of purveyance of milk collected from the private farm-steads within a single administratinve district. Econtechhod : An international quarterly journal on economics in technology, new technologies and modelling processes, 3(4), 23-27.
Тryhuba, A., Тryhuba, I., Ftoma, O., & Boyarchuk, O. (2019). Method of quantitative evaluation of the risk of benefits for investors of fodder-producing cooperatives. In: 14-th International Scientific and Technical Conference on Computer Sciences and Information Technologies. Lviv Polytechnic National University, 17–20 September. Lviv, pp. 55–58.
Tryhuba, A., Boyarchuk, V., Tryhuba, I., Ftoma, O., Francik, S., & Rudynets, M. (2020). Method and software of planning of the substantial risks in the projects of production of raw material for biofuel. In: International Workshop IT Project Management. Ukrainian Project Management Association “UKRNET” & Lviv Polytechnic National University, 18–20 February. Slavsko, pp. 116–129.
Тryhuba, A., Hridin, O., Slavina, N., Mushenyk, I., & Dobrovolska, E. (2020). Managerial decisions in logistic systems of milk provision on variable production conditions. Independent Journal of Management & Production, 11(8), 783-800.
Тryhuba, A., Bashynskyi, O., Medvediev, Y., Slobodian, S., & Skorobogatov, D. (2019). Justification of models of changing project environment for harvesting grain, oilseed and legume crops. Independent Journal of Management & Production, 10(7), 658-672.
Тryhuba, A., Тryhuba, І., Mushenyk, І., Pashсhenko, О., & Likhter, М. (2020). Computer model of resource demand planning for dairy farms. Independent Journal of Management & Production (2nd Special Edition ISE, S&P), 11(6), 658-672.
Tryhuba, A., Boyarchuk, V., Tryhuba, I., & Ftoma, O. (2019). Forecasting of a lifecycle of the projects of production of biofuel raw materials with consideration of risks. In: International Conference on Advanced Trends in Information Theory (ATIT), pp. 420-425.
Tryhuba, A., Boyarchuk, V., Tryhuba, I., Boyarchuk, V., & Ftoma, O. (2019). Evaluation of risk value of investors of projects for the creation of crop protection of family dairy farms. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 67(5), 1357–1367.