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Journal articles on the topic 'Agricultural machinery sales forecasting'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Нехай, Вікторія Василівна. "ФОРМАЛІЗАЦІЯ МЕТОДИКИ ПРОГНОЗУВАННЯ ЗБУТУ ПРОДУКЦІЇ ПІДПРИЄМСТВ СІЛЬСЬКОГОСПОДАРСЬКОГО МАШИНОБУДУВАННЯ". TIME DESCRIPTION OF ECONOMIC REFORMS, № 1 (7 квітня 2023): 73–79. http://dx.doi.org/10.32620/cher.2023.1.09.

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The article is devoted to the study of the problems of the sales organization of agricultural engineering enterprises. The need to develop the growth potential of its volumes and improve the methodology of their forecasting, taking into account the participation of enterprises in integration associations, is considered urgent. The purpose of the study is to substantiate an innovative approach to the formalization of the method of forecasting sales of products of agricultural machinery enterprises. The object of the study is a complex of factors that affect the sales performance of enterprises.

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Kumar, Manoj, C. R. Mehta, Bikram Jyoti, M. B. Tamhankar, and V. Bhushana Babu. "Technology Forecasting of Agricultural Implements for Central India using Structural Time Series Model." Journal of Agricultural Engineering (India) 62, no. 1 (2025): 69–79. https://doi.org/10.52151/jae2025621.1907.

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This study investigates the technology forecasting of agricultural implements in Central India, focusing on enhancing farm mechanization to improve productivity and farmers’ income. The Structural Time Series (STS) model was applied to predict the future demand for 14 commonly used farm implements for the year 2020, 2025 and 2030 in Madhya Pradesh, using sales data from 138 manufacturers (2000-2018). Implements such as graders and animal-drawn tools showed declining trends, with higher mean absolute percentage error (MAPE). The findings revealed an increasing demand for modern agricultural mac

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Smykov, Sergei, Pavel Ivanov, Elena Usova, Alexandra Krasnova, and Alexander Skakunov. "Ways to improve agricultural machinery maintenance technologies." АгроЭкоИнфо 2, no. 56 (2023): 25. http://dx.doi.org/10.51419/202132225.

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This article discusses ways to improve the technology of maintenance of agricultural machinery. The variants of increasing the efficiency of the use of agricultural machinery by improving agricultural technologies, in which diagnostics, forecasting and maintenance of various mechanisms play an essential role, are proposed. Keywords: MAINTENANCE, TECHNICAL CONDITION, FORECASTING, INNOVATION, AUTOMATION, ROBOTICS

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4

Nosov, V. V., M. G. Tindova, K. A. Zhichkin, et al. "Forecasting the production of agricultural machinery in the Russian Federation." IOP Conference Series: Earth and Environmental Science 1045, no. 1 (2022): 012014. http://dx.doi.org/10.1088/1755-1315/1045/1/012014.

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Abstract The article examines the production of agricultural machinery in the Russian Federation for the period from 2000 to 2020. The aim of the work is to develop a forecast for the production of the main types of agricultural machinery in the Russian Federation in modern conditions. Within the framework of this, the following tasks are supposed to be solved: - study of the availability of agricultural machinery for domestic agricultural producers; - identification of trends in the development of agricultural machinery production; - construction of econometric models that describe the volume

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5

Hu, Yao Guang, Shuo Sun, and Jing Qian Wen. "Agricultural Machinery Spare Parts Demand Forecast Based on BP Neural Network." Applied Mechanics and Materials 635-637 (September 2014): 1822–25. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1822.

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With the rapid development of agricultural machinery, forecasting the demand for spare parts is essential to ensure timely maintenance of agricultural machinery. Based on features of spare parts, BP neural network is chosen to forecast the demand. First, this paper analyzes factors that affect the demand for spare parts. Second, steps and processes of neural network prediction are described. The third part of this paper is case study based on certain brand of agricultural machinery spare parts. BP neural network turns out suitable for forecasting the demand for spare parts.

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MISUN, Al-I., and A. GARKUSHA. "FORECASTING PRODUCTION RISKS WHEN USING MOBILE AGRICULTURAL MACHINERY." Herald of Polotsk State University. Series B. Industry. Applied Sciences, no. 1 (February 27, 2025): 29–32. https://doi.org/10.52928/2070-1616-2025-51-1-29-32.

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A logistic regression analysis of production risks during the operation of mobile agricultural machinery (using forage harvesters as an example) was performed. The logit transformation of risk as a one-dimensional value described by probability was considered, and the resulting dependencies were tabulated.

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7

Qin, Xiaoshun, Dongdong Jiang, and Leon Pretorius. "The Impact of Financial Factors on the After-Sales Service of Agricultural Machinery: A Case Study of Chinese Agricultural Machinery in South Africa." Asian Journal of Agriculture and Rural Development 11, no. 1 (2021): 71–78. http://dx.doi.org/10.18488/journal.ajard.2021.111.71.78.

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Compared to other countries, the level of agricultural mechanization in Africa and South Africa is relatively low. Among the factors that influence agricultural mechanization, after-sales service of agricultural machinery is among the most significant. On the other hand, financial resources primarily impact on improvement and enhancement of after-sales service of farm equipment. In this paper, a questionnaire was employed as the method of quantitative data collection to assist in the analysis of data from 739 respondents in the Chinese context. Due to the Covid-19 pandemic in 2020 (Mmbengwa &a

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Luo, Wei, and Zhuo Fu. "Application of Generalized Regression Neural Network to the Agricultural Machinery Demand Forecasting." Applied Mechanics and Materials 278-280 (January 2013): 2177–82. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.2177.

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Proposed an agricultural machinery demand forecasting model based on the generalized regression neural network. This model is based on GRNN, using the circulation testing algorithm combined with k-fold cross validation for parameters optimization and network training, and achieves satisfying forecasting precision in the case of small samples. By using the data of total power agricultural machinery and relevant factors from the year 1995 to 2010 in Guangxi province, we tested and verified the effectiveness of the model.

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9

Duan, Mingyao. "Research on Shackles of Agricultural Modernization in Northeast China -Taking the Promotion of the Western-style Agricultural Machinery in Northeast China as an Example." Advances in Economics, Management and Political Sciences 27, no. 1 (2023): 120–25. http://dx.doi.org/10.54254/2754-1169/27/20231266.

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In the late Qing Dynasty and the early Republic of China, with the gradual development of social economy, agriculture in Northeast China also gradually began to modernize. In this context, businessmen from western developed countries saw the opportunity to actively promote their advanced agricultural machinery through various marketing strategies. Although they achieved satisfactory results in the initial years, their sales gradually weakened over time. Due to the lagging sales of Western-style agricultural machinery, agricultural production in most areas continues adopted the old method until

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10

GODZHAEV, ZAKHID, VITALIY BEYLIS, ALEKSANDR LAVROV, and VLADIMIR SHEVTSOV. "STANDARDS AND FORECASTING OF AGRICULTURAL PRODUCTION NEEDS IN MACHINERY." Elektrotekhnologii i elektrooborudovanie v APK 4, no. 41 (2020): 151–58. http://dx.doi.org/10.22314/2658-4859-2020-67-4-151-158.

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The development of standard requirements in the technique and methods of their determination is an urgent problem whose solution will give the opportunity to policy authorities and producers not only to solve current problems related to the vehicle fleet, but also to determine future needs for technology for Russia as a whole, regions, and farms of all types. (Research purpose) The research purpose is in developing a methodology for calculating the normative need for equipment for crop production using coefficients for converting physical units of equipment into reference units, which allows u

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11

Zahid A., Godzhaev, Gabitov Ildar I., and Mudarisov Salavat G. "FORECASTING THE DEMAND FOR AGRICULTURAL MACHINERY IN THE AGRO-INDUSTRIAL COMPLEX OF THE REPUBLIC OF BASHKORTOSTAN UNTIL 2030." Vestnik Bashkir State Agrarian University 74, no. 2 (2025): 54–60. https://doi.org/10.31563/1684-7628-2025-74-2-54-60.

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The article presents the results of a comprehensive study which aimed to determine the regulatory requirements for agricultural machinery in the agro-industrial complex of the Republic of Bashkortostan for the period up to 2030. The authors have developed a calculation methodology that takes into account modern trends in the growing energy intensity of agricultural machinery fleets (an increase in the average tractor power capacity to 150 hp). The method allowed improving the regulatory requirements for agricultural machinery from 11.5 to 9.5 units per 1000 hectares of farmland. The article pr

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Kataev, Yuriy Vladimirovich, Mikhail Gennadyevich Zagoruiko, Igor Aleksandrovich Tishaninov, and Evgeniy Anatolievich Gradov. "Prediction of failures in agricultural machinery engines using digital technologies." Agrarian Scientific Journal, no. 2 (February 28, 2022): 79–82. http://dx.doi.org/10.28983/asj.y2022i2pp79-82.

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The paper provides information on the causes of failures in agricultural machinery engines, provides a brief overview of the ways to identify malfunctions using digital technologies introduced into the diagnostic process, and ways to eliminate them. The introduction of forecasting as a separate stage in the process of diagnosing agricultural machinery using machine learning technologies in the form of neural networks is analyzed. The results of the study reflect that the neural network, analyzing a huge amount of data obtained during remote diagnostics, is able to more accurately predict failu

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13

Fayzieva, Shirin, Bekzod Djurayev, and Gulnoza Samiyeva. "Ways to improve mechanisms for providing agricultural production with technical means." E3S Web of Conferences 623 (2025): 04005. https://doi.org/10.1051/e3sconf/202562304005.

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The scientific work reflects the ways of improving the mechanisms for providing agricultural production with technical means. The article scientifically substantiates that losses during harvesting of agricultural crops amount to about 3 percent of the total harvest. The article calculates the prospective change in the volume of agricultural machinery by analyzing the level of acquisition of new machinery by peasant (farming) households, and these calculations are expressed in formulas. The work divides the forecasting of agricultural machinery modernization processes into 3 main groups and per

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Wineka Nirmala, Virgin, Dikdik Harjadi, and Robi Awaluddin. "Sales Forecasting by Using Exponential Smoothing Method and Trend Method to Optimize Product Sales in PT. Zamrud Bumi Indonesia During the Covid-19 Pandemic." International Journal of Engineering, Science and Information Technology 1, no. 4 (2021): 59–64. http://dx.doi.org/10.52088/ijesty.v1i4.169.

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Forecasting is important for a company in achieving goals effectively and efficiently. Forecasting aims to determine the next steps to be taken based on historical data. PT. Zamrud Bumi Indonesia is one of the manufacturing companies in the management of agricultural liquid fertilizers with the trademark “Power Bumi”. The purpose of this study is to analyze the sales pattern of Power Bumi products during the covid-19 pandemic and compare the forecasting method that is able to produce the smallest error value in forecasting sales of Power Bumi products PT. Zamrud Bumi Indonesia. This study uses

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15

Azzahra, Amalya Almira, Rr. Erlina, and Dwi Asri Siti Ambarwati. "Analysis of the Production Area Planning of Ground Fish at CV Hadori in East Lampung District." Asian Journal of Applied Business and Management 3, no. 3 (2024): 187–98. http://dx.doi.org/10.55927/ajabm.v3i3.10571.

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This study investigates production scale planning at CV Hadori, a fish processing company, using Break-Even Point (BEP) analysis and linear trend forecasting. The company faces significant overproduction of minced fish, leading to excess inventory and reduced profits. The research employs a descriptive quantitative approach, analyzing historical production and sales data through trend analysis and BEP calculations. Findings indicate that CV Hadori must produce and sell over 405,436 kg of processed fish in 2026 to achieve profitability. Recommendations include optimizing production and sales st

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Bal-Prylypko, L., O. Cherednichenko, L. Stepasyuk, and Z. Titenko. "Profit as a main factor in forecasting agricultural business development." IOP Conference Series: Earth and Environmental Science 1150, no. 1 (2023): 012008. http://dx.doi.org/10.1088/1755-1315/1150/1/012008.

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Abstract The essence and role of profit in forecasting the development of agricultural production are investigated in the article. The value of profit in modern conditions as an important driving force of the economy is determined and proved. It is revealed that forecasting the development of agricultural business is a set of studies of economic activities of the enterprise using appropriate sources of information, determining available reserves, analysing the results of activities and developing the necessary measures for efficient production. The DuPont model was used to analyse the impact o

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Li, Jian, Daizheng He, and Xingshuo Lu. "Sales forecasting and classification model and pricing research of agricultural perishables based on STL-ARIMA." Highlights in Business, Economics and Management 33 (May 9, 2024): 281–88. http://dx.doi.org/10.54097/zbqb8d97.

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The prediction of sales volume for agricultural perishable goods is crucial for small-scale merchants to formulate corresponding procurement strategies. Accurate sales volume forecasting helps merchants reduce the risk of excess inventory, establish prudent and appropriate procurement strategies, and provide suggestions for product pricing. To further accurately explore the sales volume patterns of various perishable goods, this study classifies existing data into individual products using the STL (Seasonal-Trend decomposition using Loess) algorithm, revealing the characteristics of each produ

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18

Perebyynis, V., M. Rogoza, T. Kosareva, and Yu Perebyynis. "Material and Technical Support of Agro-food Complex in Context of Modernization of Industry." Herald of the Economic Sciences of Ukraine, no. 1(36) (2019): 92–100. https://doi.org/10.37405/1729-7206.2019.1(36).92-100.

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It is established that efficiency of the agro-food complex depends on the level of its material and technical support determined by the state of the industry manufacturing the means of production. In recent years, there has been an increase in imports and sales of agricultural machinery. The comparative estimation of certain types of machinery produced domestically and abroad is presented. The prospects of development of tractor, agricultural and automobile engineering in Ukraine in the context of its modernization are considered. The emphasis is on the concept of a new industrial policy (neo-

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Mudarisov, S. G., and R. R. Kamaletdinov. "Tracing the Evolution and Legacy of Professor A.P. Iofinov’s Scientific School." Agricultural Machinery and Technologies 17, no. 4 (2023): 103–8. http://dx.doi.org/10.22314/2073-7599-2023-17-4-103-108.

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The scientific ideas and contribution of Professor A.P. Iofinov to the development of agricultural science remain relevant in our time. The paper emphasizes Professor August Pavlovich Iofinov’s pivotal role in the exploration of quality management and the modeling of technological processes for agricultural machines. The scientific concepts introduced by A.P. Iofinov continue to hold significance in contemporary times. Their development and application contribute to improving the operational capabilities of agricultural machinery and bolstering the overall efficiency of the agricultural indust

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A’yuni Ar Ruhimat, Qurrota, Ika Surya Lestari, and Saiful Bukhori. "Forecasting Agricultural Seeds Sales System Using The Additive Holt-Winters Method." E3S Web of Conferences 448 (2023): 03041. http://dx.doi.org/10.1051/e3sconf/202344803041.

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Buana Seed is an agricultural business sector that sells various kinds of agricultural seeds, such as: chilli seeds, Servo tomato seeds, and Ranti tomato seeds. The problem found was the sale of seeds that was not optimal, because the owner used the previous period's sales as a reference. Due to an error in determining the number of seeds to be sown, there is often an overstock or understock. An information system is needed to assist seeders in determining the number of seeds to be sown. The forecasting method used is the "Additive Holt-Winters" method where the data used is sales data for eac

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KRAMCHENKO, R. A., and I. R. PYLYPIV. "Priorities and problems of the development of machine– building enterprises at the current stage." Market Relations Development in Ukraine 105, no. 11(270) (2024): 69–74. https://doi.org/10.5281/zenodo.10528686.

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The subject of the study is the priorities and problems of the development of machine–buildingenterprises at the current stage.The purpose of the study is to determine ways to overcome the systemic crisis of machine–building enterprises.Research methods. The work uses the dialectical method of scientific knowledge, the method ofanalysis and synthesis, the comparative method, and the method of summarizing data.Work results. The article outlines the main problems of the negative dynamics of enterprises. Thescheme of restructuring of large enterprises is given. The main reasons that h

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Hidayat, Nurul, Eka Fitria, Intan Purnama Sari Chandra, Dhea Rizma Anada, and Renilda Cahyany. "ANALISIS PERAMALAN PENJUALAN SINGKONG DENGAN APLIKASI POM-QM (STUDI PADA KELOMPOK PETANI MUDA DI KOTA TARAKAN)." Media Mahardhika 22, no. 3 (2024): 429–37. http://dx.doi.org/10.29062/mahardika.v22i3.933.

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Indonesia is an agricultural country whose economy is largely dependent on the agricultural sector. Cassava or cassava, which has the Latin name Manihot esculenta crantz, is a tuber plant that contains lots of carbohydrates. Tarakan Young Farmers are one of the farmer groups who chose cassava to cultivate since the beginning of land clearing. Price fluctuations that often occur in cassava are caused by excessive harvesting and natural disasters such as floods due to rainy weather, including the appearance of fungus on cassava trees which causes a decline in the quality of cassava so that deman

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Tang, Liqun, Qiang Liu, Wanjiang Yang, and Jianying Wang. "Do agricultural services contribute to cost saving? Evidence from Chinese rice farmers." China Agricultural Economic Review 10, no. 2 (2018): 323–37. http://dx.doi.org/10.1108/caer-06-2016-0082.

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Purpose The purpose of this paper is to clarify agricultural services into five categories, including agricultural materials supply service, financial service, technical service, machinery service and processing and sales service, and to examine the effect of agricultural services on cost saving of rice production in China. Design/methodology/approach Based on a three-year panel data set covering 3,421 rice farmers in 12 Chinese provinces collected from the state rice industry experiment stations’ fixed watch points of China Agriculture Research System, a stochastic frontier model which takes

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Neisyafitri, Rendayu Jonda, and Pornthipa Ongkunaruk. "The Use of Intervention Approach in Individual and Aggregate Forecasting Methods for Burger Patties: A Case in Indonesia." AGRARIS: Journal of Agribusiness and Rural Development Research 8, no. 1 (2022): 20–33. http://dx.doi.org/10.18196/agraris.v8i1.12842.

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The Indonesian beef consumption increases sharply during Ramadan and made a difference between supply and demand. The research aimed to study the demand pattern of burger patties and determine a suitable forecasting method compared between quantitative and intervention forecasting methods. The actual demand was intervened by experts based on reasons such as supply shortage, holidays, promotion, and government projects. The daily sales of burger patties were collected for a year. Then, the data were divided into training and testing data. Later, time-series forecasting was performed by software

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Polina, Pooja, Swathi Ganesan, Lakmali Karunarathne, and Nalinda Somasiri. "Time Series Analysis for Tractor Sales using SARIMAX and Deep Learning Models." International Journal of Computer Communication and Informatics 6, no. 1 (2024): 27–57. http://dx.doi.org/10.34256/ijcci2413.

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Time series forecasting is known for playing vital role in many industries to make important decisions and strategies. This study concentrates on providing accurate insights that can help manufactures and stakeholders of agriculture machinery industry on future sales of tractors by applying both traditional and deep learning models like SARIMAX which is extension of SARIMA and deep learning models. Research starts by observing history data which include years of tractor sales then preprocess the data to find its quality and stationarity further applying SARIMAX model to find trends and seasons

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YALYNA, O. "DIAGNOSTICS AND TECHNOLOGICAL MAINTENANCE OF AGRICULTURAL MACHINES USED IN AGRICULTURAL COMPLEX." HERALD OF KHMELNYTSKYI NATIONAL UNIVERSITY 295, no. 2 (2021): 123–26. http://dx.doi.org/10.31891/2307-5732-2021-295-2-123-126.

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The article considers the current state of the system of maintenance and repair of agricultural machinery, shows the analysis of the existing system and its impact on the economic efficiency of production in the agro-industrial complex. The current state of instrumentation, electronics and computer technology can significantly increase and expand the possibilities of both diagnosing and forecasting based on it. The combination of these capabilities with the progress of agricultural machinery ensures its reliable, highly productive and economical operation. It is established that of great impor

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Pyvovarov, S., V. Nitsenko, and I. Zozulia. "SALES MANAGEMENT IN THE SYSTEM OF INNOVATIVE DEVELOPMENT OF AGRICULTURAL ENTERPRISES." Energy saving. Power engineering. Energy audit., no. 11 (202) (February 16, 2025): 97–108. https://doi.org/10.20998/2313-8890.2024.11.07.

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Abstract. The topic's relevance is due to the modern challenges facing the agricultural sector of the economy. In the modern world, innovation is a key factor in increasing agricultural enterprises' competitiveness, efficiency, and sustainability. Sales activities, which include sales, logistics, marketing, and customer interaction, are strategic elements that directly affect enterprises' profitability and sustainable development. The article is devoted to the study of the process of managing sales activities in the innovative development system of agricultural enterprises. It is determined th

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Koblianska, Inna, Larysa Kalachevska, Stanisław Minta, Nataliia Strochenko, and Svitlana Lukash. "Modelling and forecasting of potato sales prices in Ukraine." Agricultural and Resource Economics: International Scientific E-Journal 7, no. 4 (2021): 160–79. http://dx.doi.org/10.51599/are.2021.07.04.09.

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Purpose. Under the background of the climate change and other crises, the world food system is becoming increasingly vulnerable to price fluctuations. This highlights the need to consider and better manage the risks associated with price volatility in accordance with the principles of a market economy and simultaneously protecting the most vulnerable groups of population. Responding to these challenges, in this study we aim to determine the main parameters of time series of potato sales prices in agricultural enterprises in Ukraine, to build an appropriate model, and to form a short-term (one-

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Adamchuk, V. V., M. I. Gritsyshyn, and N. M. Perepelytsya. "Formation and development of the agricultural machinery market in Ukraine." Mehanization and electrification of agricultural, no. 12 (2020): 173–83. http://dx.doi.org/10.37204/0131-2189-2020-12-20.

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Annotation Purpose. To reveal the shortcomings of the formation of the market of agricultural machinery and their impact on the economy of Ukraine. Methods. Monographic, analytical, economic-mathematical, statistical. Results. It is established that the introduction of “free prices” in Ukraine led to a violation of the principle of equivalence of exchange between industrial and agricultural products, became the main reason for the loss of effective demand of agricultural enterprises for material and technical resources, the decline of domestic engineering and, as a result, led to the monopoliz

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Zhang, Debin, Dieisson Pivoto, Carlos Alberto Oliveira de Oliveira, et al. "Diffusion of technologies: a longitudinal analysis of the Brazilian agricultural machinery sector." Research, Society and Development 11, no. 8 (2022): e44411829185. http://dx.doi.org/10.33448/rsd-v11i8.29185.

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The importance of adopting technology innovations, mainly in food production contributing to food safety, is significant. This study aims to analyze the diffusion of agricultural production technologies in Brazil, mainly the use of wheel tractors, grain and sugarcane harvesters by producers. A quantitative approach is used to understand the market-level factors that influence the adoption of technologies. A supply response is estimated based on the Bass diffusion model. Data were collected from the National Association of Vehicle Manufacturers (Anfavea), which includes Brazilian monthly sales

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Dement'ev, V. B., and A. D. Zasypkin. "Forecasting the durability of hollow shafts and axles of agricultural machinery products." Traktory i sel hozmashiny 84, no. 5 (2017): 58–64. http://dx.doi.org/10.17816/0321-4443-66304.

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The issues of increasing durability in the development of technologies for strengthening the critical parts of agricultural machinery products are considered. The conducted experiments and calculations show that the use of hollow axes, shafts and other hollow products gives a great technical and economic effect, reduces the consumption of metal, facilitates the weight of equipment and ensures its high performance. The technique of prediction of the durability of parts with thermomechanical processing and deformation by screw compression from hot-rolled especially thick-walled pipes is presente

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Li, Jiawen, Binfan Lin, Peixian Wang, et al. "A Hierarchical RF-XGBoost Model for Short-Cycle Agricultural Product Sales Forecasting." Foods 13, no. 18 (2024): 2936. http://dx.doi.org/10.3390/foods13182936.

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Short-cycle agricultural product sales forecasting significantly reduces food waste by accurately predicting demand, ensuring producers match supply with consumer needs. However, the forecasting is often subject to uncertain factors, resulting in highly volatile and discontinuous data. To address this, a hierarchical prediction model that combines RF-XGBoost is proposed in this work. It adopts the Random Forest (RF) in the first layer to extract residuals and achieve initial prediction results based on correlation features from Grey Relation Analysis (GRA). Then, a new feature set based on res

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Khalin, S., and O. Litovchenko. "FORMATION AND DEVELOPMENT OF MACHINE TESTING AFFAIRS IN L. Pogorilyy UkrNDIPVT." Technical and technological aspects of development and testing of new machinery and technologies for agriculture of Ukraine 1, no. 32(46) (2023): 10–27. http://dx.doi.org/10.31473/2305-5987-2023-1-32(46)-1.

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Summary The purpose of this work is to describe the historical path of the formation and development of the machine testing system and the creation and development of the main scientific institution of Ukraine for testing agricultural machinery and technologies – L. Pogorilyy UkrNDIPVT. Methods: historical-scientific, dialectical-logical, bibliographic-statistical, problem-chronological, which contributed to the comprehensive analysis of the research subject based on the principles of comprehensiveness, historicism and scientific objectivity of knowledge. Results. It is known that the machine

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Munish Kumar Tiwari, Amit Manglik, JN Singh,. "Consumer Online Behavior Analysis and CRISP-DM Process Model Development." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (2023): 3379–88. http://dx.doi.org/10.52783/tjjpt.v44.i4.1473.

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Understanding the behavior of a company's customers forms the cornerstone of modern marketing. Data analysis is penetrated by cutting-edge artificial intelligence techniques like data mining and machine learning. These techniques can be used in a variety of businesses and for online sales of any type of commodity in big volumes. They are frequently employed in the sale of clothing, computers, and electronics. However, they can also be used in the B2B as well as B2C sales of seeds, agricultural goods, or agricultural machinery in the agricultural sector. A selling company might gain competitive

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Nebri, Mohamed Amine, Abdellatif Moussaid, and Belaid Bouikhalene. "Forecasting livestock feed sales using machine learning techniques: an analysis of the Moroccan market." Indonesian Journal of Electrical Engineering and Computer Science 35, no. 2 (2024): 1139. http://dx.doi.org/10.11591/ijeecs.v35.i2.pp1139-1150.

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Agriculture, especially cereals, is important in sustaining economies and food security globally. This study delves into the Moroccan agricultural landscape, specifically focusing on predicting livestock feed sales to assist cereal company producers in optimizing production, streamlining supply chain operations, and enhancing customer satisfaction. Data collected from various markets across Morocco, including sales dates and locations, was combined with climate data and analyzed using advanced machine learning techniques, particularly the gradient boosting regression (GBR) algorithm, which ach

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Mohamed, Amine Nebri Abdellatif Moussaid Belaid Bouikhalene. "Forecasting livestock feed sales using machine learning techniques: an analysis of the Moroccan market." Indonesian Journal of Electrical Engineering and Computer Science 35, no. 2 (2024): 1139–50. https://doi.org/10.11591/ijeecs.v35.i2.pp1139-1150.

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Agriculture, especially cereals, is important in sustaining economies and food security globally. This study delves into the Moroccan agricultural landscape, specifically focusing on predicting livestock feed sales to assist cereal company producers in optimizing production, streamlining supply chain operations, and enhancing customer satisfaction. Data collected from various markets across Morocco, including sales dates and locations, was combined with climate data and analyzed using advanced machine learning techniques, particularly the gradient boosting regression (GBR) algorithm, which ach

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Bedarev, Ivan, Vitaly Tikhonovskiy, Ksenia Tikhonovskaya, and Yuri Blynskiy. "Modern methods of navigation monitoring and positioning of agricultural machinery." АгроЭкоИнфо 5, no. 47 (2021): 28. http://dx.doi.org/10.51419/20215528.

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The article considers the state of transport monitoring systems used in agricultural production. The urgency of the problem is explained by the need to increase the profitability of enterprises of the agricultural complex. An effective way to solve the problem is strict control of the operation of transport used in the technological process of agricultural production in order to optimize and increase the efficiency of its operation. The direct dependence of the profitability of an agricultural enterprise on the monitoring of transport is considered and justified. To illustrate, the results of

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Barabash, Nataliia, and Tetiana Pashkuda. "FORECASTING CHANGES IN THE STRUCTURE OF ASSETS AND CAPITAL OF AGRICULTURAL ENTERPRISES." Economics & Education 6, no. 2 (2021): 52–57. http://dx.doi.org/10.30525/2500-946x/2021-2-9.

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The purpose of the study is to develop methodological approaches to forecasting changes in the structure of assets and capital of agricultural enterprises. Methodology. The information base of the article is presented by scientific works of domestic and foreign scientists. The research is based on scientific methods, among which it is expedient to distinguish: analysis and synthesis, comparison, idealization, and abstraction, as well as systematization and generalization – during the formulation of conclusions as a result of the study. Results. It is established that the agricultural sector of

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Sarsembayev, M. A., B. S. Karazhan, and A. E. Yelegen. "Regulatory framework of the Strategic doctrine of the Kazakhstan machine building in order to ensure the development of transport and agrotechnical plants." Bulletin of the Karaganda University. “Law Series” 109, no. 1 (2023): 6–16. http://dx.doi.org/10.31489/2023l1/6-16.

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This article presents a general analysis of the Strategic Doctrine of the creation of high-tech engineering with a section of transport and agricultural machinery from 2023 to 2045, as an act of “soft” law. The new Kazakh laws and international conventions that will be adopted in the medium and long term are considered in detail and analytically. The authors applied the methods of logical analysis, comparative legal analysis, the method of scientific forecasting in relation to future Kazakh laws, regulatory legal acts, international conventions. The regulatory framework, which forms one of the

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Pestryakov, E. V., and M. N. Kostomakhin. "Software for diagnosing and forecasting the technical condition of agricultural vehicles." Sel'skohozjajstvennaja tehnika: obsluzhivanie i remont (Agricultural Machinery: Service and Repair), no. 2 (February 28, 2022): 42–51. http://dx.doi.org/10.33920/sel-10-2202-06.

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This article is devoted to neural networks in agriculture, in particular, in diagnosing the state of agricultural machinery. The development of new software using artificial intelligence in its work is carried out all over the world. Also, in parallel with the software, new computing devices are being developed that allow storing and processing large amounts of information. All this makes it possible to create complex computer systems using new development principles to increase maximum productivity. In addition, agriculture must keep up with current trends. Therefore, this article covers both

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Prayudani, Santi, Wiwin Sry Adinda Banjarnahor, Muhammad Rivan Nugroho, and Tazkiyatun Nisa. "Tree Triple Exponential Smoothing Analysis in Forecasting of Fertilizer Sales." Acceleration, Quantum, Information Technology and Algorithm Journal 1, no. 2 (2024): 64–73. https://doi.org/10.62123/aqila.v1i2.49.

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The majority of Indonesia's population relies on the agricultural sector, making fertilizer an essential raw material to increase productivity. PT. Pupuk Iskandar Muda (PIM), faces challenges in maintaining the balance of urea fertilizer production and demand. In 2021, PIM's urea fertilizer production was unable to meet demand, while in 2019, 2020, and 2022 there was overproduction. This inventory non-optimization can lead to productivity bottlenecks and increased storage costs. One solution to this problem is forecasting. This research uses the Triple Exponential Smoothing (TES) forecasting m

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Mohamed, Aboubakar, Daouda Abdourahimoun, Hamza Halarou, and Makinta Boukar. "Energy Demand Forecasting to Assure Food Security from Agricultural Sector of Niger." American Journal of Energy Engineering 13, no. 1 (2025): 23–31. https://doi.org/10.11648/j.ajee.20251301.13.

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The objective of this work is to estimate the future energy needs of the agricultural sector in two key areas: fuel consumption and the specific use of electricity for operating agricultural machinery. Meeting these energy needs could significantly enhance agricultural production by improving the availability, accessibility, and utilization of food products. Ultimately, this would contribute to ensuring food security in Niger by 2035. The Model for the Analysis of Energy Demand (MAED) is used for the simulation. Four scenarios have been defined for this study: the reference scenario, the ambit

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Krekhivskyi, O. V. "State Aid for Development of Manufacture of Agricultural Machinery: Economic and Statistical Aspect." Statistics of Ukraine 96, no. 1 (2022): 67–81. http://dx.doi.org/10.31767/su.1(96)2022.01.07.

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The world practice of state support of agricultural machinery is studied. Features of dualistic agro-industrial policy of China are identified. It is substantiated that the subsidy policy for the purchase of agricultural machinery, which has been implemented by the Chinese government since 2004, has also had an extensive impact on the promotion and development of agricultural mechanization, development of agricultural machinery and improvement of economic results, scaling up of services for agricultural sector; activation of related industries: the development of companies that specialize in c

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Parmacli, Dmitrii. "Forecasting financial and economic indicators activities of enterprises using charts." Vector European, no. 2 (November 2023): 120–25. http://dx.doi.org/10.52507/2345-1106.2023-2.24.

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It is emphasized that the forecasting of financial and economic performance of enterprises has its own characteristics, due to the fact that income from product sales, gross and net profits, as a rule, are unstable. This is especially true for agricultural organizations and processing enterprises. ATU Gagauzia is located in the epicenter of the zone of risky (unsustainable) agriculture. The methodology for forecasting the financial and economic performance of enterprises requires clarification and, if possible, the use of uniform approaches available for use in practice, both for educational p

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Frolov, Dmitry, Milana Shevchenko, and Natella Kosenko. "Digitization of the agricultural crop industry as a factor for business growth." E3S Web of Conferences 273 (2021): 08023. http://dx.doi.org/10.1051/e3sconf/202127308023.

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The production costs of agricultural enterprises of 43 rural areas in the South of Russia, which systematically cultivate the same types of crops: winter and spring grains, pulse crops, maize, sunflower, potatoes and open field vegetables, has been investigated. Mathematical tools for cost forecasting and long-term planning of production of the most competitive species for profitable sales on the world (grain) and domestic product markets are shown.

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Alukhanyan, Arthur, and Olga Panfilova. "The industry of agricultural engineering in the period of modernization of the economy." E3S Web of Conferences 371 (2023): 01058. http://dx.doi.org/10.1051/e3sconf/202337101058.

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The purpose of the study is to analyze the agricultural machinery industry in Russia and its main flagship, Rostselmash Combine Plant LLC, during the modernization of the economy. The article reveals the main problems leading to the reduction of the industry, among which are unequal conditions of competition in the domestic market between domestic and foreign producers, and insufficient elaboration of subsidy issues. The main reasons for the low effective demand for agricultural machinery in the domestic Russian market are considered. The description of the economic scheme of commercial leasin

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Fadhilah, Ahmad Rizky, Arbi Haza Nasution, and Winda Monika. "Comparative Analysis of LSTM, FB Prophet, and Moving Average Methods for Fuel Sales Prediction: A Time Series Forecasting Approach." Building of Informatics, Technology and Science (BITS) 6, no. 3 (2024): 1321–31. https://doi.org/10.47065/bits.v6i3.5877.

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Fuel is an important part of vehicles and machinery where sales demand is very high and has various fluctuations. The uncertainty in these fuel sales patterns poses serious problems in inventory management and fuel distribution planning in Indonesia, which can result in excess stock or fuel scarcity in various regions. Additionally, changing trends in vehicle usage and the impact of the COVID-19 pandemic have made accurate sales predictions increasingly difficult. Therefore, this research aims to understand the current and future sales patterns and trends of fuel sales in Indonesia. Careful an

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БУРДЯК, Олег. "СПЕЦИФІКА МАРКЕТИНГОВОЇ ДІЯЛЬНОСТІ ОКРЕМИХ СУБ’ЄКТІВ АГРАРНОГО РИНКУ В УМОВАХ КОНКУРЕНЦІЇ". Herald of Khmelnytskyi National University. Economic sciences 332, № 4 (2024): 473–81. http://dx.doi.org/10.31891/2307-5740-2024-332-71.

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Today, agrarian marketing is a rapidly developing field. Marketing tools are actively used in managing production and sales processes of agricultural production enterprises. However, the theory of agrarian marketing itself is still in its formative stage and contains numerous unresolved issues. Addressing these questions is essential for creating a comprehensive understanding of agrarian marketing and for enabling its most effective application. Questions arise even at the initial stage of understanding the essence and content of agrimarketing, specifically in its conceptual framework. The pur

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Ju, Jin Yan, Rong Xin Zhu, and Lei Geng. "Forecasting and Analysis the Demand of Agricultural Mechanization for Economic Development." Advanced Materials Research 694-697 (May 2013): 3512–15. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.3512.

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The development of agricultural mechanization not only has to consider its development speed, but also should coordinate with economic development. Therefore, taking economic development as the independent variable, and agricultural mechanization development as the dependent variable, the nonlinear relationship model was established. Then, on the basis of forecasting GDP which on behalf of the economic development level, the demands of agricultural mechanization for economic development was predicted. Given the limitations of single forecast model, the nonlinear combination forecast models bas

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Herranz-Matey, Ivan, and Luis Ruiz-Garcia. "Agricultural Tractor Retail and Wholesale Residual Value Forecasting Model in Western Europe." Agriculture 13, no. 10 (2023): 2002. http://dx.doi.org/10.3390/agriculture13102002.

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The residual value of agricultural tractors plays a pivotal role in the financial viability of agribusiness enterprises. Nevertheless, there is a dearth of comprehensive studies concerning the prognostication of both retail and wholesale residual values specific to agricultural tractors within the context of Western Europe. This research introduces an innovative methodology for assessing the residual worth of agricultural tractors, with particular consideration given to the substantial pricing discrepancies between retail and wholesale transactions. Leveraging publicly available auction data,

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