Conceptual Research Model of Developing the Decision Support System for Agriculture Under Uncertainty

Ji, Chunmei; Andrashko, Yurii; Biloshchytska, Svitlana; Tsiutsiura, Svitlana

doi:10.1109/sist50301.2021.9465888

Cited by 3 publications

(1 citation statement)

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“…An important task is the construction of decision-making models regarding the activities of an agricultural enterprise under conditions of uncertainty to improve productivity. Work [8] describes a conceptual model of decision-making but it does not take into account the full set of factors influencing the yield of agricultural crops. In study [9], the component of functionality for the model of the information system for supporting decision-making in the agrarian domain under conditions of environmental uncertainty was considered.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Evaluating the effectiveness of precision farming technologies in the activities of agricultural enterprises

Neftissov,

Biloshchytskyi,

Andrashko

et al. 2024

EEJET

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This paper describes approaches to improving the efficiency of agricultural enterprises. It has been established that the use of technology transfer, in particular, precision farming technologies, makes it possible to enhance the efficiency of agricultural enterprises, in particular, to increase the yield of agricultural crops and, accordingly, to improve the profitability of enterprises. As an example, the activities of agricultural enterprises in the Republic of Kazakhstan were analyzed. The share of agricultural enterprises in the Republic of Kazakhstan that use elements of precision farming technology in their activities was determined. It was established that since 2019, the use of precision farming technologies in the activities of agricultural enterprises in the Republic of Kazakhstan has intensified. At the same time, from 60 to 75 % of enterprises already use elements of precision farming technologies in their activities. Using crop yield data for the past 32 years, estimates of the effectiveness of using precision farming technologies by agro-enterprises in the Republic of Kazakhstan were constructed based on forecasting yield indicators using the linear-weighted moving average method. The efficiency of using precision farming technologies in the activities of agricultural enterprises in the Republic of Kazakhstan in 2022 reached 8.46 %, and the average efficiency for the period 2019–2022 was 4.21 %. Therefore, the use of precision farming technologies makes it possible to improve the validity of decision-making in the management of an agricultural enterprise and to obtain a higher profit from the sale of produced agricultural products for any agricultural enterprise in the world. On average, the results allow us to estimate the possible profit of an agro-enterprise when growing agricultural crops in the case of using precision farming technology

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Section: Literature Review and Problem Statementmentioning

confidence: 99%