Shamsutdinova T.M. (2024). Prospects for the Use of Neural Networks in Agriculture. Agricultural and Livestock Technology, 7 (2). DOI: 10.15838/alt.2024.7.2.6 URL: http://azt-journal.ru/article/29943?_lang=en
Alfer’ev D.A. (2018). Artificial intelligence in agriculture. AgroZooTekhnika=Agricultural and Livestock Technology, 1(4), 5. DOI: 10.15838/alt.2018.1.4.5 (in Russian).
Alfer’ev D.A. (2020). Practice of implementing convolutional neural networks in agriculture and agro-industrial complex. AgroZooTekhnika=Agricultural and Livestock Technology, 3(2), 4. DOI: 10.15838/alt.2020.3.2.4 (in Russian).
Arkhipov A.G., Gorbachev M.I., Kosogor S.N., et al. (2019). Tsifrovaya transformatsiya sel'skogo khozyaistva Rossii [Digital Transformation of Agriculture in Russia]. Moscow: Rosinformagrotekh Publ.
Benos L., Tagarakis A.C., Dolias G., et al. (2021). Machine learning in agriculture: A comprehensive updated review. Sensors, 21(11), 3758. DOI: 10.3390/s21113758
Bogomazov S.V., Grishin G.E., Tikhonov N.N., et al. (2015). The role of agrotechnical techniques and abiotic factors in the formation of yields of winter wheat. Niva Povolzhya, 2(35), 2–8 (in Russian).
Dudko Y.V., Marinkin E.B., Vladimirova T.M. (2019). The use of neural network technologies in predicting the fertility of soils with leguminous crops and predicting their yields. Voprosy nauki: innovatika, tekhnika i tekhnologii=Questions of Science: Innovation, Engineering and Technology, 1, 67–72 (in Russian).
Glinushkin A.P., Sevostyanov M.A., Baikin A.S. et al. (2022). Identification of the influence of environmental factors on the yield of winter wheat varieties. Zametki uchenogo=Notes of a Scientist, 5, 315–321 (in Russian).
Gvozdov A.P., Bulavin L.A., Kutsev D.N. (2018). The yield of grain of winter wheat depending on predecessors, methods of soil cultivation and application of nitrogen fertilizers. Vestnik Belorusskoi gosudarstvennoi sel'skokhozyaistvennoi akademii=Bulletin of the Belarusian State Agricultural Academy, 4, 94–99 (in Russian).
Kamilaris A., Prenafeta-Boldú F.X. (2018). A review of the use of convolutional neural networks in agriculture. The Journal of Agricultural Science, 156, 312–322. DOI: 10.1017/S0021859618000436
Kingma D.P., Ba J. (2015). Adam: A method for stochastic optimization. 3rd International Conference on Learning Representations (ICLR 2015). DOI: 10.48550/arXiv.1412.6980
Rogachev A.F., Melikhova E.V. (2020). Justification of algorithms and tools for neural network forecasting of agricultural productivity using retrospective data. Izvestiya Nizhnevolzhskogo agrouniversitetskogo kompleksa: nauka i vysshee professional'noe obrazovanie=Proc. of the Lower Volga Agro-University Comp., 1(57), 290–302. DOI: 10.32786/2071-9485-2020-01-29 (in Russian).
Runov B.A., Novikov N.N. (2017). The analysis of robotic tools in agriculture application. Vestnik Vserossiiskogo nauchno-issledovatel'skogo instituta mekhanizatsii zhivotnovodstva=Journal of VNIIMZH, 2(26), 113–117 (in Russian).
Shamsutdinova T. (2023). Application of neural network technologies for crop yield forecasting. BIO Web of Conferences, 71. DOI: 10.1051/bioconf/20237101019
Shkurenko L.V. (2013). Effectiveness of main factors’ influence on winter wheat yield. Sovremennye problemy nauki i obrazovaniya=Modern Problems of Science and Education, 5, 455 (in Russian).
Shutykov A.A., Anischenko A.N. (2019). The future of artificial intelligence, neural networks and digital technologies in agriculture. Ekonomika i sotsium: sovremennye modeli razvitiya=Economics and Society: Contemporary Models of Development, 9(4), 508–522. DOI: 10.18334/ecsoc.9.4.100454 (in Russian).
Simonenko E.I. (2016). Influence of climatic factors on the yield of winter wheat. Aktual'nye problemy gumanitarnykh i estestvennykh nauk=Actual Problems of the Humanities and Natural Sciences, 7-1, 199–202 (in Russian).
Torkashvand A., Ahmadipour A., Mousavi Khaneghah A. (2020). Estimation of kiwifruit yield by leaf nutrients concentration and artificial neural network. The Journal of Agricultural Science, 158(3), 185-193. DOI:10.1017/S002185962000043X
Vasyukov P.P., Chuvarleeva G.V., Tsygankov V.I. (2008). Influence of some meteorological factors on the yield of winter wheat. Dostizheniya nauki i tekhniki APK=Achievements of Science and Technology of APK, 1, 28–29 (in Russian).
Zhao X., Li Ya., Song H. et al. (2020). Agents affecting the productivity of pine plantations on the loess plateau in China: A study based on structural equation modeling. Forests, 11(12), 1328. DOI: 10.3390/f11121328