Abstract
Around the world, farmers are increasingly turning to the concept of smart agriculture. The concept of smart agriculture includes the use of innovative digital technologies, mobile applications, sensors and tracking devices, communication channels, data analysis tools, and other intelligent solutions for users. This article discusses the farm of LLC “Rodon”, located in the Rostov region. Due to its low profitability, the aim of the work was to improve the efficiency of farm management using modern trends in agricultural development and digital technologies. The activity of this farm can be represented as a model of multi-criteria optimization with target functions of profit from the sale of crops and increasing the yield of cultivated crops and restrictions on the ratio of areas by cultivated crops, by field areas, the number of purchased seeds, fertilizers, and other expenses. To optimize this model, the following tasks were solved: a plan for crop rotation of cultivated crops for 5 years was drawn up; a software package consisting of user applications “Profit calculation” and “Crop rotation” was developed. The user can quickly and easily determine their optimal strategy for the next year.
Highlights
The development of agriculture takes place with the use of new technologies throughout its history
The population's food needs are increasing all the time, and traditional farming methods are not coping with them, so farmers are increasingly turning to the concept of smart agriculture
For the development of agriculture, innovative technologies are used everywhere: in land management [1,2,3], increasing the yield of cultivated crops[4], in improving technical devices, and special hardware and software tools are being developed for integration into the farm management system [5,6]
Summary
The development of agriculture takes place with the use of new technologies throughout its history. We don't have a large amount of data to use for time series analysis [4] or spatial data analysis [10] The activity of this farm can be represented as a model of multi-criteria optimization with target functions of profit from the sale of crops and increasing the yield of cultivated crops and restrictions on the ratio of areas by cultivated crops, by field areas, the number of purchased seeds, fertilizers, and other expenses. This problem is relevant, since its solution leads to an increase in the yield of crops grown, and, to an increase in the profit of the farm
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