{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T19:19:05Z","timestamp":1771960745335,"version":"3.50.1"},"reference-count":54,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T00:00:00Z","timestamp":1710720000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ministry of Science and Higher Education of the Russian Federation"},{"name":"Federal State Task Program of Scientific and Technological Centre of Unique Instrumentation of the Russian Academy of Sciences"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Chlorophyll plays a crucial role in the process of photosynthesis and helps to regulate plants\u2019 growth and development. Timely and accurate evaluation of leaf chlorophyll content provides valuable information about the health and productivity of plants as well as the effectiveness of agricultural treatments. For non-contact and high-performance chlorophyll content mapping in plants, spectral imaging techniques are the most widely used. Due to agility and rapid random-spectral-access tuning, acousto-optical imagers seem to be very attractive for the detection of vegetation indices and chlorophyll content assessment. This laboratory study demonstrates the capabilities of an acousto-optic imager for evaluation of leaf chlorophyll content in six crops with different biophysical properties: Ribes rubrum, Betula populifolia, Hibiscus rosa-sinensis, Prunus padus, Hordeum vulgare and Triticum aestivum. The experimental protocol includes plant collecting, reference spectrophotometric measurements, hyperspectral imaging data acquisition, processing and analysis and building a multi-crop chlorophyll model. For 90 inspected samples of plant leaves, the optimal vegetation index and model were found. Obtained values of chlorophyll concentrations correlate well with reference values (determination coefficient of 0.89 and relative error of 15%). Applying a multi-crop model to each pixel, we calculated chlorophyll content maps across all plant samples. The results of this study demonstrate that acousto-optic imagery is very promising for fast chlorophyll content assessment and other laboratory spectral-index-based measurements.<\/jats:p>","DOI":"10.3390\/rs16061073","type":"journal-article","created":{"date-parts":[[2024,3,19]],"date-time":"2024-03-19T04:36:31Z","timestamp":1710822991000},"page":"1073","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Evaluation of Leaf Chlorophyll Content from Acousto-Optic Hyperspectral Data: A Multi-Crop Study"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1043-7014","authenticated-orcid":false,"given":"Anastasia","family":"Zolotukhina","sequence":"first","affiliation":[{"name":"Acousto-Optic Spectroscopy Laboratory, Scientific and Technological Centre of Unique Instrumentation, Russian Academy of Sciences, 15 Butlerova, 117342 Moscow, Russia"},{"name":"Laser and Optical-Electronic Systems Department, Bauman Moscow State Technical University (National Research University), 52nd Baumanskaya, 105005 Moscow, Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2864-3214","authenticated-orcid":false,"given":"Alexander","family":"Machikhin","sequence":"additional","affiliation":[{"name":"Acousto-Optic Spectroscopy Laboratory, Scientific and Technological Centre of Unique Instrumentation, Russian Academy of Sciences, 15 Butlerova, 117342 Moscow, Russia"}]},{"given":"Anastasia","family":"Guryleva","sequence":"additional","affiliation":[{"name":"Acousto-Optic Spectroscopy Laboratory, Scientific and Technological Centre of Unique Instrumentation, Russian Academy of Sciences, 15 Butlerova, 117342 Moscow, Russia"},{"name":"Laser and Optical-Electronic Systems Department, Bauman Moscow State Technical University (National Research University), 52nd Baumanskaya, 105005 Moscow, Russia"}]},{"given":"Valeria","family":"Gresis","sequence":"additional","affiliation":[{"name":"Laser and Optical-Electronic Systems Department, Bauman Moscow State Technical University (National Research University), 52nd Baumanskaya, 105005 Moscow, Russia"},{"name":"Agrarian Technological Institute, People\u2019s Friendship University of Russia, 117198 Moscow, Russia"}]},{"given":"Anastasia","family":"Kharchenko","sequence":"additional","affiliation":[{"name":"Agrarian Technological Institute, People\u2019s Friendship University of Russia, 117198 Moscow, Russia"}]},{"given":"Karina","family":"Dekhkanova","sequence":"additional","affiliation":[{"name":"Agrarian Technological Institute, People\u2019s Friendship University of Russia, 117198 Moscow, Russia"}]},{"given":"Sofia","family":"Polyakova","sequence":"additional","affiliation":[{"name":"Perm Agricultural Research Institute, Division of Perm Federal Research Center Ural Brunch of Russian Academy of Sciences, 614532 Perm, Russia"}]},{"given":"Denis","family":"Fomin","sequence":"additional","affiliation":[{"name":"Laser and Optical-Electronic Systems Department, Bauman Moscow State Technical University (National Research University), 52nd Baumanskaya, 105005 Moscow, Russia"},{"name":"Perm Agricultural Research Institute, Division of Perm Federal Research Center Ural Brunch of Russian Academy of Sciences, 614532 Perm, Russia"}]},{"given":"Georgiy","family":"Nesterov","sequence":"additional","affiliation":[{"name":"Laser and Optical-Electronic Systems Department, Bauman Moscow State Technical University (National Research University), 52nd Baumanskaya, 105005 Moscow, Russia"}]},{"given":"Vitold","family":"Pozhar","sequence":"additional","affiliation":[{"name":"Acousto-Optic Spectroscopy Laboratory, Scientific and Technological Centre of Unique Instrumentation, Russian Academy of Sciences, 15 Butlerova, 117342 Moscow, Russia"},{"name":"Laser and Optical-Electronic Systems Department, Bauman Moscow State Technical University (National Research University), 52nd Baumanskaya, 105005 Moscow, Russia"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1007\/s13280-016-0793-6","article-title":"Sustainable Intensification of Agriculture for Human Prosperity and Global Sustainability","volume":"46","author":"Williams","year":"2017","journal-title":"Ambio"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1093\/biosci\/bix010","article-title":"Agriculture in 2050: Recalibrating Targets for Sustainable Intensification","volume":"67","author":"Hunter","year":"2017","journal-title":"Bioscience"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"828","DOI":"10.1126\/science.1183899","article-title":"Precision Agriculture and Food Security","volume":"327","author":"Gebbers","year":"2010","journal-title":"Science"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1186\/s40537-017-0077-4","article-title":"Analysis of Agriculture 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