Machine Learning as a Tool for Crop Yield Prediction

Author:

Kutsenogiy P. K.,Kalichkin V. K.,Pakul A. L.,Kutsenogiy S. P.

Publisher

Allerton Press

Reference22 articles.

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2. Asalkhanov, P.G., Ivan’o, Ya.M., and Polkovskaya, M.N., Models for predicting the yield of agricultural crops in the problems of parametric programming, Vestn. Irkutsk. Gos. Tekh. Univ., 2017, vol. 21, no. 2, pp. 57–66. https://doi.org/10.21285/1814-3520-2017-2-57-66

3. Neverov, A.A., Alternative models of long-term forecasting of grain yield for the steppe zone of the Orenburg region, Byull. Orenb. Nauchn. Tsentra Ural. Otd. Ross. Akad. Nauk, 2018, no. 1, pp. 1–9. https://doi.org/10.24411/2304-9081-2018-11002

4. Volkova, E.S., Mel’nik, M.A., and Fuzella, T.Sh., To the assessment of natural hazards for the sphere of agrarian nature management in the southern taiga of Western Siberia, Fundam. Issled., 2014, no. 12, pp. 153–157.

5. Aref'ev, A.N., Bogomazov, S.V., Gushchina, V.A., et al., Agrotekhnologicheskie osnovy tekhnologii vozdelyvaniya sel’skokho-zyaistvennykh kul’tur (Agrotechnological Foundations of Technologies for the Cultivation of Agricultural Crops), Pensa: Penz. Gos. Agrar. Univ., 2018.

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1. Forecasting Crop Yield with Machine Learning Techniques and Deep Neural Network;Proceedings in Adaptation, Learning and Optimization;2023

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