Forecasting Parameters of Farm Development At the Regional Level Using the STELLA Program

Pub Date : 2022-06-01 DOI:10.15544/mts.2022.22
Mariia Savka, Yurii Cherneviy, I. Yatsiv, I. Balaniuk, D. Shelenko, S. Yatsiv
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Abstract

Abstract Given the importance of forecasting the production of agricultural products by farms, the study created an original model in the STELLA program, which identified the impact on the number of agricultural enterprises, land area and fertilizers. The created model showed that in Ivano-Frankivsk region by 2030 with the stabilization of the number of agricultural enterprises, land area and the increase in mineral fertilizers per hectare of sown area may increase agricultural production by farms. This will help solve important issues for the region and the state in general, related to strengthening food security, ensuring the social development of rural areas. The prognostic changes in the volume of agricultural production determined by the STELLA program by farms of the region until 2030 can be the basis for the development of a promising model of the agricultural production system at the regional level.
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利用STELLA程序预测区域农业发展参数
摘要鉴于预测农场农产品产量的重要性,该研究在STELLA计划中创建了一个原始模型,确定了对农业企业数量、土地面积和化肥的影响。创建的模型表明,到2030年,在伊万诺-弗兰基夫斯克地区,随着农业企业数量的稳定,土地面积和每公顷播种面积矿物肥料的增加,农场的农业生产可能会增加。这将有助于解决该地区和整个国家的重要问题,涉及加强粮食安全,确保农村地区的社会发展。到2030年,该地区农场通过STELLA计划确定的农业产量的预测变化可以作为在区域层面开发有前景的农业生产系统模型的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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