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    Academic Journal

    Source: Agricultural Machinery and Technologies; Том 15, № 1 (2021); 4-8 ; Сельскохозяйственные машины и технологии; Том 15, № 1 (2021); 4-8 ; 2073-7599

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    Relation: https://www.vimsmit.com/jour/article/view/409/361; Dorokhov А.S., Grishin А.P., Grishin А.А. Printsipy sinergetiki i eksergeticheskogo modelirovaniya dlya upravleniya productsionnymi processami v zakrytykh iskusstvennykh agroekosistemakh (ZIAES) [Principles of synergy and exergy modeling for managing production processes in closed artificial agroecosystems (CAAES)]. Agrotekhnika i energoobespetchenie. 2019. N3(24). 128-139 (In Russian).; Rakut’ko S.A., Markova A.E., Mishanov A.P., Rakut’ko E.N. Energoekologiya svetokul’tury - novoe mezhdisciplinarnoe nauchnoe napravlenie [Energyecology of plant lighting is a new interdisciplinary scientific direction]. Tekhnologii i tekhnicheskie sredstva mekhanizirovannogo proizvodstva produktsii rastenievodstva i zhivotnovodstva. 2016. N90. 14-28 (In Russian).; Zorina A. A. Metody statisticheskogo analiza fluktuirujushhej asimmetrii [Methods for statistical analysis of fluctuating asymmetry]. Principy ekologii. 2012. N3. 24-47 (In Russian).; Zakharov V.M., Trofimov I.E. Morfogeneticheskij podhod k ocenke zdorov’ja sredy: issledovanie stabil’nosti razvitija [Morphogenetic approach to assessing environmental health: research on developmental stability]. Ontogenez. 2017. Vol. 48. N6. 433‑442 (In Russian).; Granier C., Vile D. Phenotyping and beyond: modelling the relationships between traits. Current Opinion in Plant Biology. 2014 Vol. 18. 96-102 (In English).; Demidchik V.V., Shashko A.Yu., Bondarenko V.Yu., et al. Fenomika rasteniy: fundamental’nye osnovy, programmno-apparatnye platformy i metody mashinnogo obuchenija [Plant phenomics: fundamental foundations, software and hardware platforms and machine learning methods]. Fiziologiya rasteniy. 2020. Vol. 67. N3. 227-245 (In Russian).; Pieruschka R., Schurr U. Perspective plant phenotyping: past, present, and future. Plant Phenomics. 2019. Article 7507131 (In English).; Walter A., Liebisch F., Hund A. Plant phenotyping: from bean weighing to image analysis (review). Plant Methods. 2015. Article 14 (In English).; Bolger M., Schwacke R., Gundlach H., Schmutzer T., Chen J., Arend D., Oppermann M., Weise S., Lange M., Fiorani F., Spannagl M., Scholz U., Mayer K., Usadel B. From plant genomes to phenotypes. Journal of Biotechnology. 2017. Vol. 261. 46-52 (In English).; Fahlgren N., Gehan M.A., Baxter I. Lights, camera, action: high-throughput plant phenotyping is ready for a close-up. Current Opinion in Plant Biology. 2015 .Vol. 24. 93-99 (In English).; Afonnikov D.A., Genaev M.A., Doroshkov A.V., Komyshev E.G., Pshenichnikova T.A. Metody vysokoproizvoditel’nogo fenotipirovaniya rasteniy dlya massovykh selekcionno-geneticheskikh eksperimentov [Methods for high-throughput plant phenotyping for mass selection and genetic experiments]. Genetika. 2016. Vol. 52. 788 (In Russian).; Alt V.V., Gurova T.A., Elkin O.V., Klimenko D.N., Maximov L.V., Pestunov I.A., Dubrovskaya O.A., Genaev M.A., Erst T.V., Genaev K.A., Komyshev E.G., Khlestkin V.K., Afonnikov D.A. The use of Specim IQ, a hyperspectral camera, for plant analysis. Vavilovskiy Zhurnal Genetiki i Selektsii. 2020. N24(3). 259-266 (In Russian).; https://www.vimsmit.com/jour/article/view/409

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