ANALYSIS OF THE IMPACT OF ARTIFICIAL INTELLIGENCE ON REDUCING LABOR COSTS IN AGRICULTURAL PRODUCTION

Aleksey S. Gusev; Anna Tatarchuk; Valeriya A. Ovsyannikova; Sof&#039;ya A. Bronickaya; Aleksey Belichev

doi:10.55186/2413046X_2025_10_12_279

UDC

339.5

VAK Russia

5.2.3

ANALYSIS OF THE IMPACT OF ARTIFICIAL INTELLIGENCE ON REDUCING LABOR COSTS IN AGRICULTURAL PRODUCTION

Published in MOSCOW ECONOMIC JOURNAL · Pages 89–108 · Rubric: Regional and branch economy

DOI: https://doi.org/10.55186/2413046X_2025_10_12_279 · EDN: JUXYPQ

Received: 06.12.2025 Accepted: 14.01.2026 Published: 14.01.2026

Authors

Aleksey S. Gusev

Anna Tatarchuk

Valeriya A. Ovsyannikova

Sof'ya A. Bronickaya

Aleksey Belichev

Aleksey S. Gusev

Academic degree: candidate of sciences in biology

Ural State Agrarian University Associate Professor · Land Management Department · Russian Federation · Ekaterinburg

Anna Tatarchuk

Ural State Agrarian University lecturer · Department of Vegetable and Fruit Growing named after N.F. Konyaeva · Russian Federation · Ekaterinburg

Valeriya A. Ovsyannikova

Ural State Agrarian University lecturer · Department of Land Management · Russian Federation · Ekaterinburg

Sof'ya A. Bronickaya

Ural State Agrarian University research associate · Russian Federation · Ekaterinburg

Aleksey Belichev

Academic degree: candidate of agricultural sciences

Ural State Agrarian University Associate Professor · Land Management Department · Russian Federation · Ekaterinburg

ABSTRACT

This paper examines the role of artificial intelligence (AI) technologies in reducing labor costs in agricultural production. Successes in increasing yields and reducing production costs are analyzed. Statistics on the implementation of digital technologies in Russian agricultural enterprises are presented, key trends are highlighted, and prospects for further automation and robotics are identified. Specific cases of successful implementation of innovative solutions are considered. It is shown that digitalization of the agricultural sector can significantly increase labor productivity, reduce material and financial costs, improve the accuracy of technological processes, and ensure stable growth in production volumes. Practical examples of the use of AI technologies are provided. Factors hindering the widespread adoption of AI, such as high initial investment, a shortage of trained specialists, and the lack of necessary infrastructure, are examined. Despite this, it is shown that investments in digitalization have a high potential for return on investment and can lead to increased profits. Conclusions are drawn about the large-scale positive impact of automation on the economy of the Russian agricultural sector.

KEYWORDS

agriculture, labor costs, artificial intelligence, digital solutions, implementation, payback

1. Barcho M.H., Dzyuba E.A. Gosudarstvennaya podderzhka innovacionnogo razvitiya APK Rossii // V sbornike: Ustoychivoe razvitie APK i sel'skih territoriy Rossii v sovremennyh geoekonomicheskih usloviyah. Sbornik nauchnyh statey XVIII Mezhdunarodnoy nauchno-prakticheskoy konferencii. Krasnodar, 2024. S. 266-271.

2. Elgin S.V. Analiz trudovyh resursov Kamchatskogo kraya // V sbornike: Ustoychivoe razvitie i kooperaciya: sodeystvie vnedreniyu innovaciy. Sbornik trudov IV Mezhdunarodnoy nauchno-prakticheskoy konferencii studentov, aspirantov i molodyh uchenyh. Mytischi, 2024. S. 1106-1117.

3. Zagazezheva O.Z., Hadzhieva M.I., Kanokova M.A., Kray K.F. Effektivnye sposoby robotizacii sel'skohozyaystvennogo proizvodstva s uchetom veroyatnostey razlichnyh dolgovremennyh posledstviy ekologo-social'no-ekonomicheskogo haraktera // V sbornike: Perspektivnye sistemy i zadachi upravleniya. Materialy XVII Vserossiyskoy nauchno-prakticheskoy konferencii i XIII molodezhnoy shkoly-seminara. Taganrog, 2022. S. 255-263.

4. Zmushko A.A. Roboty v sel'skom hozyaystve // V sbornike: Plodovodstvo. Sbornik nauchnyh trudov. Minsk, 2023. S. 186-192.

5. Inyukin A.F., Kostantinidi V.A. Avtomatizaciya APK RF kak faktor obespecheniya prodovol'stvennoy bezopasnosti // V sbornike: Obespechenie nacional'noy bezopasnosti Rossii v sovremennyh usloviyah: novye vyzovy i prioritety. Materialy IV Nacional'noy nauchno-prakticheskoy konferencii. Krasnodar, 2025. S. 84-89.

6. Kostyreva Ya.D. Perspektivy ispol'zovaniya IT tehnologiy v sel'skom hozyaystve // V sbornike: World science: problems and innovations. Sbornik statey LXV Mezhdunarodnoy nauchno-prakticheskoy konferencii. Penza, 2022. S. 66-68.

7. Merenkova I.N. Social'no-orientirovannoe razvitie sel'skih territoriy: tendencii, problemy i puti resheniya // V sbornike: Povyshenie effektivnosti APK v sisteme social'no-orientirovannogo razvitiya sel'skih territoriy. Sbornik nauchnyh trudov po rezul'tatam mezhregional'noy nauchno-prakticheskoy konferencii. 2015. S. 23-28.

8. Naumova O.N., Okorokova V.D. Analiz vliyaniya iskusstvennogo intellekta na otrasli ekonomiki v RF: problemy i tendencii razvitiya // V sbornike: Cifrovaya transformaciya kak vektor ustoychivogo razvitiya. Materialy VI Mezhdunarodnoy nauchno-prakticheskoy konferencii. Kazan', 2024. S. 192-197.

9. Panteleev E.M., Kiselev S.V. Ocenka funkcional'nyh resursov innovacionnogo potenciala ekonomicheskoy bezopasnosti regiona // Ekonomika: vchera, segodnya, zavtra. 2024. T. 14. № 6-1. S. 136-150.

10. Sandu I.S., Ryzhenkova N.E. Predposylki i napravleniya sovershenstvovaniya gosudarstvennoy podderzhki innovacionnogo razvitiya APK // Ekonomika, trud, upravlenie v sel'skom hozyaystve. 2024. № 3 (109). S. 86-95.

11. Semin A.N., Skvorcov E.A., Skvorcova E.G. Deficit rabotnikov v sel'skom hozyaystve i vozmozhnosti ego snizheniya s ispol'zovaniem sistem iskusstvennogo intellekta // ETAP: ekonomicheskaya teoriya, analiz, praktika. 2023. № 6. S. 59-76.

12. Skryndica I.M. Potencial robotizacii sel'skohozyaystvennogo proizvodstva v usloviyah cifrovoy transformacii // V sbornike: Regional'nye problemy ustoychivogo razvitiya agropromyshlennogo kompleksa v usloviyah cifrovoy transformacii. Sbornik statey II Mezhdunarodnoy nauchno-prakticheskoy konferencii. Penza, 2025. S. 206-209.

13. Talanova N.V. Formirovanie i razvitie informacionnoy i infrastrukturnoy sostavlyayuschih podderzhki innovacionnogo razvitiya APK // Vestnik Belgorodskogo universiteta potrebitel'skoy kooperacii. 2010. № 4 (36). S. 275-280.

14. Timirgaleeva R.R., Verdysh M.V., Popova A.A. Razvitie agropromyshlennogo kompleksa v cifrovoy srede na osnove integracionnyh processov // Mezhdunarodnyy zhurnal prikladnyh i fundamental'nyh issledovaniy. 2022. № 4. S. 51-56.

JATS XML

Chairman of the editorial board

Aleksandr Fomin

e-science@list.ru

Publishing editor

Ekaterina Syamina

e-science@list.ru

GOST

Gusev A. S., Tatarchuk A. P., Ovsyannikova V. A., Bronickaya S. A., Belichev A. A. ANALYSIS OF THE IMPACT OF ARTIFICIAL INTELLIGENCE ON REDUCING LABOR COSTS IN AGRICULTURAL PRODUCTION // . 2025. pp. 89-108. DOI: https://doi.org/10.55186/2413046X_2025_10_12_279. EDN: JUXYPQ. (Date of access 20.08.2026).

MLA

Aleksey S. Gusev, Tatarchuk A. P., Ovsyannikova V. A., Bronickaya S. A., Belichev A. A.. "ANALYSIS OF THE IMPACT OF ARTIFICIAL INTELLIGENCE ON REDUCING LABOR COSTS IN AGRICULTURAL PRODUCTION." (2025): 89-108. DOI: https://doi.org/10.55186/2413046X_2025_10_12_279. EDN: JUXYPQ.

APA

Gusev A. S., Tatarchuk A. P., Ovsyannikova V. A., Bronickaya S. A., Belichev A. A. (2025). ANALYSIS OF THE IMPACT OF ARTIFICIAL INTELLIGENCE ON REDUCING LABOR COSTS IN AGRICULTURAL PRODUCTION. , 89-108. https://doi.org/10.55186/2413046X_2025_10_12_279 EDN: JUXYPQ.

Chicago

Aleksey S. Gusev, Tatarchuk A. P., Ovsyannikova V. A., Bronickaya S. A., Belichev A. A.. "ANALYSIS OF THE IMPACT OF ARTIFICIAL INTELLIGENCE ON REDUCING LABOR COSTS IN AGRICULTURAL PRODUCTION." , no. (2025): 89-108. https://doi.org/10.55186/2413046X_2025_10_12_279. EDN: JUXYPQ.

WIKI

{{cite journal | author = Gusev A. S., Tatarchuk A. P., Ovsyannikova V. A., Bronickaya S. A., Belichev A. A. | title = ANALYSIS OF THE IMPACT OF ARTIFICIAL INTELLIGENCE ON REDUCING LABOR COSTS IN AGRICULTURAL PRODUCTION | journal = | year = 2025 | pages = 89-108 | doi = 10.55186/2413046X_2025_10_12_279 }} EDN: JUXYPQ

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