agroengineeringАгроинженерияAgricultural Engineering (Moscow)2687-11492687-1130РГАУ-МСХА10.26897/2687-1149-2022-6-70-75agroengineering-436Research ArticleЭЛЕКТРИФИКАЦИЯ И АВТОМАТИЗАЦИЯ СЕЛЬСКОГО ХОЗЯЙСТВАPOWER SUPPLY AND AUTOMATION OF AGRICULTURAL PRODUCTIONДиагностика на фабриках растений: обзор неинвазивных методов мониторинга состояния растений для закрытых регулируемых агроэкосистемScreening in plant factories: a review of non-invasive plant monitoring techniques for closed regulated agroecosystemshttps://orcid.org/0000-0003-3624-1474БурынинД. А.SmirnovD. A.

БУРЫНИН ДМИТРИЙ АЛЕКСАНДРОВИЧ, аспирант

г. Москва, 1-й Институтский проезд, д. 5

DMITRIY A. BURYNIN, postgraduate student

5, 1st Institutskiy Proezd Srt., Moscow, 109428

burynin@gmail.comhttps://orcid.org/0000-0002-9236-2281СмирновА. А.SmirnovA. A.

ПРОШКИН ЮРИЙ АЛЕКСЕЕВИЧ, канд. техн. наук, старший научный сотрудник

г. Москва, 1-й Институтский проезд, д. 5

ALEKSANDR A. SMIRNOV, PhD (Eng), Senior Research Engineer

5, 1st Institutskiy Proezd Srt., Moscow, 109428

as984788@gmail.comhttps://orcid.org/0000-0003-3566-2226ПрошкинЮ. А.ProshkinYu. А.

ПРОШКИН ЮРИЙ АЛЕКСЕЕВИЧ, канд. техн. наук, старший научный сотрудник

г. Москва, 1-й Институтский проезд, д. 5

YURIY A. PROSHKIN, PhD (Eng), Senior Research Engineer

5, 1st Institutskiy Proezd Srt., Moscow, 109428

yproshkin@gmail.comhttps://orcid.org/0000-0003-2726-2433КачанС. А.KachanS. A.

КАЧАН СЕРГЕЙ АЛЕКСАНДРОВИЧ, младший научный сотрудник

г. Москва, 1-й Институтский проезд, д. 5

SERGEY A. KACHAN, Junior Research Engineer

5, 1st Institutskiy Proezd Srt., Moscow, 109428

89263745692@mail.ruhttps://orcid.org/0000-0001-6364-4346ДолгалевА. П.DolgalevA. P.

ДОЛГАЛЕВ АЛЕКСЕЙ ПАВЛОВИЧ, главный специалист

г. Москва, 1-й Институтский проезд, д. 5

ALEKSEI P. DOLGALEV, Chief Expert

5, 1st Institutskiy Proezd Srt., Moscow, 109428

alexeie2006@gmail.comФедеральный научный агроинженерный центр ВИМРоссияFederal Scientific Agroengineering Center VIMRussian Federation2022161120222467075Copyright © Бурынин Д.А., Смирнов А.А., Прошкин Ю.А., Качан С.А., Долгалев А.П., 20232023Бурынин Д.А., Смирнов А.А., Прошкин Ю.А., Качан С.А., Долгалев А.П.Smirnov D.A., Smirnov A.A., Proshkin Y.А., Kachan S.A., Dolgalev A.P.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://agroengineering.timacad.ru/jour/article/view/436

В условиях выращивания культур на фабриках растений своевременная информация о физиологическом состоянии растений позволяет поддерживать урожайность культуры на высоком уровне. В растениеводстве наибольшее распространение получили неинвазивные методы диагностики, позволяющие выявлять стрессовые состояния растения на ранней стадии. В теоретическом исследовании применительно к фабрикам растений проведено сравнение электрофизических методов мониторинга (измерения биопотенциала и биоимпеданса), термографических методов (метода регистрации ксилемного потока и инфракрасной термографии), оптических методов (измерения отражательных характеристик листьев, гипер- и мультиспектральной визуализации) и метода измерения флуоресценции хлорофилла. Исследуемые методы классифицировались и анализировались по нескольким критериям: измеряемые показатели, оценка параметров растений, портативность измерительного прибора, возможность сканирования на уровне полога. Сделан вывод о том, что неинвазивные методы диагностики физиологического состояния растений способны на ранней стадии сигнализировать о негативных изменениях, позволяют косвенно оценить стрессовое состояние растений, транспирацию, фотосинтез, пигментный и элементный состав, электрическое сопротивление тканей. Среди технологий неинвазивной диагностики физиологического состояния растений для закрытых регулируемых агроэкосистем эффективными являются метод спектрального анализа листьев растений – в частности, спектральная визуализация, и флуоресцентный метод. В дальнейших исследованиях для оценки фотосинтеза и составления «световых рецептов» планируется сравнить флуоресцентный метод и метод спектральной визуализации в практических условиях.

Under the conditions of growing crops in plant factories, timely information about the physiological state of plants makes it possible to maintain crop yields at a high level. In crop production, non-invasive methods of plant diagnostics are most widely used, which helps identify plant stress conditions at an early stage. In the theoretical study applied to plant factories, the authors compared electrophysical monitoring methods (the measurement of biopotential and bioimpedance), thermography methods (the method of registration of xylem sap flow and infrared thermography), optical methods (the measurement of reflective characteristics of leaves, hyper- and multispectral imaging), and the method for measuring chlorophyll fluorescence. The studied methods were classified and analyzed according to several criteria: measurable indicators, the assessment of plant parameters, the portability of the measuring instrument, the ability to scan at the canopy level. It was concluded that non-invasive methods for diagnosing the physiological state of plants are capable of signaling negative changes at an early stage, provide for indirect assessing plant stress, transpiration, photosynthesis, pigment and elemental composition, and the electrical resistance of tissues. Among the technologies for non-invasive diagnostics of the physiological state of plants for closed regulated agroecosystems, the method of spectral analysis of plant leaves, in particular, spectral visualization, and the fluorescence method are particularly effective. In further studies to evaluate photosynthesis and compose “light recipes”, the authors are planning to compare the fluorescence method and the spectral imaging method in practical conditions.

мониторинг растенийфотосинтезбиопотенциалбиоимпедансксилемный потоктермографияфлуоресценцияспектральная визуализацияфлуоресцентный методplant monitoringphotosynthesisbiopotentialbioimpedancexylem sap flowthermographyfluorescencespectral imagingfluorescence methodReferencesKozai T. Resource use efficiency of closed plant production system with artificial light: Concept, estimation and application to plant factory. Proceedings of the Japan Academy, Ser. B, Physical and Biological Sciences. 2013; 89(10). https://doi.org/10.2183/pjab.89.447Kozai T. Resource use efficiency of closed plant production system with artificial light: Concept, estimation and application to plant factory. Proceedings of the Japan Academy, Ser. B, Physical and Biological Sciences. 2013; 89(10). https://doi.org/10.2183/pjab.89.447Graamans L., Baeza. E., van den Dobbelsteen A., Tsafaras I., Stanghellini C. Plant factories versus greenhouses: Comparison of resource use efficiency. Agricultural Systems. 2018; 160: 31-43. https://doi.org/10.1016/j.agsy.2017.11.003Graamans L., Baeza. E., van den Dobbelsteen A., Tsafaras I., Stanghellini C. Plant factories versus greenhouses: Comparison of resource use efficiency. Agricultural Systems. 2018; 160: 31-43. https://doi.org/10.1016/j.agsy.2017.11.003Ahmad P., Ahanger M.A., Alyemeni M.N., Alam P. Effect of Light Intensity on Photosynthesis. Photosynthesis, Productivity and Environmental Stress. 2019: 65-73. https://doi.org/10.1002/9781119501800.ch4Ahmad P., Ahanger M.A., Alyemeni M.N., Alam P. Effect of Light Intensity on Photosynthesis. Photosynthesis, Productivity and Environmental Stress. 2019: 65-73. https://doi.org/10.1002/9781119501800.ch4Demmig-Adams B.; Adams III W.W. Photoinhibition. Encyclopedia of Applied Plant Sciences. 2017; 1: 78-85. https://doi.org/10.1016/B978-0-12-394807-6.00093-9Demmig-Adams B.; Adams III W.W. Photoinhibition. Encyclopedia of Applied Plant Sciences. 2017; 1: 78-85. https://doi.org/10.1016/B978-0-12-394807-6.00093-9Jócsák I., Végvári G., Vozáry E. Electrical impedance measurement on plants: a review with some insights to other fields. Theoretical and Experimental Plant Physiology. 2019; 31: 359-375.Jócsák I., Végvári G., Vozáry E. Electrical impedance measurement on plants: a review with some insights to other fields. Theoretical and Experimental Plant Physiology. 2019; 31: 359-375.Jamaludin D., Abd Aziz S., Ahmad D., Z.E. Jaafar, H. Impedance analysis of Labisia pumila plant water status. Information Processing in Agriculture. 2015; 2(3-4): 161-168. https://doi.org/10.1016/j.inpa.2015.07.004Jamaludin D., Abd Aziz S., Ahmad D., Z.E. Jaafar, H. Impedance analysis of Labisia pumila plant water status. Information Processing in Agriculture. 2015; 2(3-4): 161-168. https://doi.org/10.1016/j.inpa.2015.07.004Muñoz-Huerta R.F., Ortiz-Melendez A. De J., Guevara-Gonzalez R.G. et al. An analysis of electrical impedance measurements applied for plant n status estimation in lettuce (Lactuca sativa). Sensors. 2014; 14(7): 11492-11503. https://doi.org/10.3390/s140711492Muñoz-Huerta R.F., Ortiz-Melendez A. De J., Guevara-Gonzalez R.G. et al. An analysis of electrical impedance measurements applied for plant n status estimation in lettuce (Lactuca sativa). Sensors. 2014; 14(7): 11492-11503. https://doi.org/10.3390/s140711492Ben Hamed K., Zorrig W., Hamzaoui A.H. Electrical impedance spectroscopy: A tool to investigate the responses of one halophyte to different growth and stress conditions. Computers and Electronics in Agriculture. 2016; 123: 376-383. https://doi.org/10.1016/j.compag.2016.03.006Ben Hamed K., Zorrig W., Hamzaoui A.H. Electrical impedance spectroscopy: A tool to investigate the responses of one halophyte to different growth and stress conditions. Computers and Electronics in Agriculture. 2016; 123: 376-383. https://doi.org/10.1016/j.compag.2016.03.006Ozier-Lafontaine H., Bajazet T. Analysis of root growth by impedance spectroscopy (EIS). Plant and Soil. 2005; 277: 299-313. https://doi.org/10.1007/s11104-005-7531-3Ozier-Lafontaine H., Bajazet T. Analysis of root growth by impedance spectroscopy (EIS). Plant and Soil. 2005; 277: 299-313. https://doi.org/10.1007/s11104-005-7531-3Repo T., Korhonen A., Laukkanen M., Lehto T., Silvennoinen R. Detecting mycorrhizal colonisation in Scots pine roots using electrical impedance spectra. Biosystems Engineering. 2014; 121: 139-149. https://doi.org/10.1016/j.biosystemseng.2014.02.014Repo T., Korhonen A., Laukkanen M., Lehto T., Silvennoinen R. Detecting mycorrhizal colonisation in Scots pine roots using electrical impedance spectra. Biosystems Engineering. 2014; 121: 139-149. https://doi.org/10.1016/j.biosystemseng.2014.02.014Hasegawa Y., Puglisi D., Spetz A.L. Development of agriculture support system using plant bioelectric potential responses and gas sensor. International Journal of Food and Biosystems Engineering. 2017; 5(1): 44-51.Hasegawa Y., Puglisi D., Spetz A.L. Development of agriculture support system using plant bioelectric potential responses and gas sensor. International Journal of Food and Biosystems Engineering. 2017; 5(1): 44-51.Кулешова Т.Э., Бушлякова А.В., Галль Н.Р. Неинвазивное измерение биоэлектрических потенциалов растений // Письма в ЖТФ. 2019. Т. 45. № 5. С. 6-8. https://doi.org/10.21883/PJTF.2019.05.47387.17541Kuleshova T.E., Bushlyakova A.V., Gall’, N.R. Non-invasive measurement of plants’ bioelectric potentials. Pis’ma v ZHTF. 2019; 45(5): 6-8. https://doi.org/10.21883/PJTF.2019.05.47387.17541 (In Rus.)Taniguchi H., Akiyama K., Fujie T. Biopotential Measurement of plant leaves with ultra-light and flexible conductive polymer nanosheets. CSJ Journals. 2020; 93(8): 1007-1013. https://doi.org/10.1246/bcsj.20200064Taniguchi H., Akiyama K., Fujie T. Biopotential Measurement of plant leaves with ultra-light and flexible conductive polymer nanosheets. CSJ Journals. 2020; 93(8): 1007-1013. https://doi.org/10.1246/bcsj.20200064Одинцова В.А. Фитомониторинг при изучении водного обмена и температурного режима растений черешни // Научные труды СКФНЦСВВ. 2017. Т. 13. С. 55-58.EDN: ZMWFMD Odintsova V.A. Phytomonitoring in the study of water exchange and temperature regime of sweet cherry. Nauchnye trudy SKFNTsSVV. 2017; 13: 55-58. (In Rus.)Thompson M.V., Zwieniecki M.A. 11 – The role of potassium in long distance transport in plants. Physiological Ecology. 2005: 221-240. https://doi.org/10.1016/B978-012088457-5/50013-7Thompson M.V., Zwieniecki M.A. 11 – The role of potassium in long distance transport in plants. Physiological Ecology. 2005: 221-240. https://doi.org/10.1016/B978-012088457-5/50013-7Амелин А.В., Чекалин Е.И., Заикин В.В., Сальникова Н.Б. Интенсивность фотосинтеза и транспирации листьев у растений Glycine Max (L.) MERR // Вестник аграрной науки. 2017. № 6(69). С. 3-8 https://doi.org/10.15217/issn2587-666X.2017.6.3Amelin A.V., Chekalin E.I., Zaikin V.V., Sal’nikova N.B. Intensity of photosynthesis and transpiration of leaves in plants Glycine Max (L.) MERR. Vestnik agrarnoy nauki. 2017; 6(69): 3-8. https://doi.org/10.15217/issn2587-666X.2017.6.3 (In Rus.)Guidi L., Degl’Innocenti E. Imaging of chlorophyll a fluorescence: A tool to study abiotic stress in plants. Abiotic Stress in Plants – Mechanisms and Adaptations. 2010. https://doi.org/10.5772/22281Guidi L., Degl’Innocenti E. Imaging of chlorophyll a fluorescence: A tool to study abiotic stress in plants. Abiotic Stress in Plants – Mechanisms and Adaptations. 2010. https://doi.org/10.5772/22281Perez-Bueno M.L., Pineda M., Baron M. Phenotyping plant responses to biotic stress by chlorophyll fluorescence imaging. Front. Plant Sci. 2019; 10: 1135. https://doi.org/10.3389/fpls.2019.01135Perez-Bueno M.L., Pineda M., Baron M. Phenotyping plant responses to biotic stress by chlorophyll fluorescence imaging. Front. Plant Sci. 2019; 10: 1135. https://doi.org/10.3389/fpls.2019.01135Kalaji H.M., Jajoo A., Oukarroum A. et al. Chlorophyll a fluorescence as a tool to monitor physiological status of plants under abiotic stress conditions. Acta Physiologiae Plantarum. 2016; 38: 102. https://doi.org/10.1007/s11738-016-2113-yKalaji H.M., Jajoo A., Oukarroum A. et al. Chlorophyll a fluorescence as a tool to monitor physiological status of plants under abiotic stress conditions. Acta Physiologiae Plantarum. 2016; 38: 102. https://doi.org/10.1007/s11738-016-2113-yLichtenthaler H. Multi-colour fluorescence imaging of photosynthetic activity and plant stress. Photosynthetica. 2021; 59 (SI): 364-380. https://doi.org/10.32615/ps.2021.020Lichtenthaler H. Multi-colour fluorescence imaging of photosynthetic activity and plant stress. Photosynthetica. 2021; 59 (SI): 364-380. https://doi.org/10.32615/ps.2021.020Kim C., van Iersel M.W. Morphological and physiological screening to predict lettuce biomass production in controlled environment agriculture. Remote Sens. 2022; 14 (2): 316. https://doi.org/10.3390/rs14020316Kim C., van Iersel M.W. Morphological and physiological screening to predict lettuce biomass production in controlled environment agriculture. Remote Sens. 2022; 14 (2): 316. https://doi.org/10.3390/rs14020316Seaton G.R., Walker D.A. Chlorophyll fluorescence as a measure of photosynthetic carbon assimilation. Proc. R. Soc. Lond. B. 1990; 242: 29-35. https://doi.org/10.1098/rspb.1990.0099Seaton G.R., Walker D.A. Chlorophyll fluorescence as a measure of photosynthetic carbon assimilation. Proc. R. Soc. Lond. B. 1990; 242: 29-35. https://doi.org/10.1098/rspb.1990.0099Zaiyou J., Xiuren Z., Jing T. Photosynthetic and chlorophyll fluorescence characteristics of Isodon rubescens (Hemsley) H. Hara. Scientific Reports. 2020; 10: 10043. https://doi.org/10.1038/s41598-020-67192-2Zaiyou J., Xiuren Z., Jing T. Photosynthetic and chlorophyll fluorescence characteristics of Isodon rubescens (Hemsley) H. Hara. Scientific Reports. 2020; 10: 10043. https://doi.org/10.1038/s41598-020-67192-2Бурынин Д.А., Смирнов А.А. Обзор технических средств неинвазивного мониторинга состояния растений, использующих методы гиперспектральной визуализации // Электротехнологии и электрооборудование в АПК. 2021. № 68 (2). С. 54-61.EDN: PLYYEN Burynin D.A., Smirnov A.A. Review of technical means for non-invasive monitoring of the state of plants using hyperspectral imaging methods. Elektrotekhnologii i elektrooborudovanie v APK. 2021; 68(2): 54-61. (In Rus.)Mishra P., Lohumi S., Ahmad Khan H., Nordon A. Close-range hyperspectral imaging of whole plants for digital phenotyping: Recent applications and illumination correction approaches. Computers and Electronics in Agriculture. 2020; 178: 105780. https://doi.org/10.1016/j.compag.2020.105780Mishra P., Lohumi S., Ahmad Khan H., Nordon A. Close-range hyperspectral imaging of whole plants for digital phenotyping: Recent applications and illumination correction approaches. Computers and Electronics in Agriculture. 2020; 178: 105780. https://doi.org/10.1016/j.compag.2020.105780Lichtenthaler H.K., Gitelson A., Lang M. Non-destructive determination of chlorophyll content of leaves of a green and an aurea mutant of tobacco by reflectance measurements. Journal of Plant Physiology. 1996; 148 (3-4): 483-493. https://doi.org/10.1016/S0176-1617(96)80283-5Lichtenthaler H.K., Gitelson A., Lang M. Non-destructive determination of chlorophyll content of leaves of a green and an aurea mutant of tobacco by reflectance measurements. Journal of Plant Physiology. 1996; 148 (3-4): 483-493. https://doi.org/10.1016/S0176-1617(96)80283-5Hernández-Clemente R., Navarro-Cerrillo R.M., Zarco-Tejada P.J. Carotenoid content estimation in a heterogeneous conifer forest using narrow-band indices and PROSPECT + DART simulations. Remote Sensing of Environment. 2012; 127: 298-315. https://doi.org/10.1016/j.rse.2012.09.014Hernández-Clemente R., Navarro-Cerrillo R.M., Zarco-Tejada P.J. Carotenoid content estimation in a heterogeneous conifer forest using narrow-band indices and PROSPECT + DART simulations. Remote Sensing of Environment. 2012; 127: 298-315. https://doi.org/10.1016/j.rse.2012.09.014Gitelson A.A., Merzlyak M.N., Chivkunova O.B. Optical properties and nondestructive estimation of anthocyanin content in plant leaves. Photochemistry and Photobiology. 2001; 74 (1): 38-45. https://doi.org/ 10.1562/0031-8655(2001)074<0038: opaneo>2.0.co;2.Gitelson A.A., Merzlyak M.N., Chivkunova O.B. Optical properties and nondestructive estimation of anthocyanin content in plant leaves. Photochemistry and Photobiology. 2001; 74 (1): 38-45. https://doi.org/ 10.1562/0031-8655(2001)074<0038: opaneo>2.0.co;2.Pattanayak G., Biswal A., Reddy V.S., Tripathy B.C. Light-dependent regulation of chlorophyll b biosynthesis in chlorophyllide a oxygenase overexpressing tobacco plants. Biochemical and biophysical research communications. 2005; 326(2): 466-471. https://doi.org/10.1016/j.bbrc.2004.11.049Pattanayak G., Biswal A., Reddy V.S., Tripathy B.C. Light-dependent regulation of chlorophyll b biosynthesis in chlorophyllide a oxygenase overexpressing tobacco plants. Biochemical and biophysical research communications. 2005; 326(2): 466-471. https://doi.org/10.1016/j.bbrc.2004.11.049Gamon J.А., Peñuelas J., Field C.В. А narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sensing of Environment. 1992; 41: 35-44. https://doi.org/10.1016/0034-4257(92)90059-SGamon J.А., Peñuelas J., Field C.В. А narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sensing of Environment. 1992; 41: 35-44. https://doi.org/10.1016/0034-4257(92)90059-SProshkin Y.A., Smirnov A.A., Semenova N.A., Dorokhov A.S., Burynin D.A., Ivanitskikh A.S., Panchenko V.A. Assessment of ultraviolet impact on main pigment content in purple basil (Ocimum basilicum L.) by the spectrometric method and hyperspectral images analysis. Applied Sciences. 2021; 11 (19): 8804. https://doi.org/10.3390/app11198804Proshkin Y.A., Smirnov A.A., Semenova N.A., Dorokhov A.S., Burynin D.A., Ivanitskikh A.S., Panchenko V.A. Assessment of ultraviolet impact on main pigment content in purple basil (Ocimum basilicum L.) by the spectrometric method and hyperspectral images analysis. Applied Sciences. 2021; 11 (19): 8804. https://doi.org/10.3390/app11198804Pineda M., Barón M., Pérez-Bueno M.-L. Thermal imaging for plant stress detection and phenotyping. Remote Sensing. 2021; 13 (1): 68. https://doi.org/10.3390/rs13010068Pineda M., Barón M., Pérez-Bueno M.-L. Thermal imaging for plant stress detection and phenotyping. Remote Sensing. 2021; 13 (1): 68. https://doi.org/10.3390/rs13010068Jones H.G. Application of thermal imaging and infrared sensing in plant physiology and ecophysiology. Advances in Botanical Research. 2004; 41: 107-163. https://doi.org/10.1016/s0065-2296(04)41003-9Jones H.G. Application of thermal imaging and infrared sensing in plant physiology and ecophysiology. Advances in Botanical Research. 2004; 41: 107-163. https://doi.org/10.1016/s0065-2296(04)41003-9Oerke E.-C., Steiner U. Potential of digital thermography for disease control. Precision Crop Protection – the Challenge and Use of Heterogeneity. 2010. Р. 167-182. https://doi.org/10.1007/978-90-481-9277-9_11Oerke E.-C., Steiner U. Potential of digital thermography for disease control. Precision Crop Protection – the Challenge and Use of Heterogeneity. 2010. Р. 167-182. https://doi.org/10.1007/978-90-481-9277-9_11

The authors declare that there are no conflicts of interest present.