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            <front>

                <journal-meta>
                                                                <journal-id>manas j agr vet life sci</journal-id>
            <journal-title-group>
                                                                                    <journal-title>Manas Journal of Agriculture Veterinary and Life Sciences</journal-title>
            </journal-title-group>
                            <issn pub-type="ppub">1694-7932</issn>
                                        <issn pub-type="epub">1694-7932</issn>
                                                                                            <publisher>
                    <publisher-name>Kırgızistan Türkiye Manas Üniversitesi</publisher-name>
                </publisher>
                    </journal-meta>
                <article-meta>
                                        <article-id pub-id-type="doi">10.53518/mjavl.1599535</article-id>
                                                                <article-categories>
                                            <subj-group  xml:lang="en">
                                                            <subject>Agricultural Systems Analysis and Modelling</subject>
                                                            <subject>Agricultural Production Systems Simulation</subject>
                                                    </subj-group>
                                            <subj-group  xml:lang="tr">
                                                            <subject>Tarım Sistemleri Analizi ve Modellemesi</subject>
                                                            <subject>Tarımsal Üretim Sistemleri Simulasyonu</subject>
                                                    </subj-group>
                                    </article-categories>
                                                                                                                                                        <title-group>
                                                                                                                        <article-title>Bitkisel Tarımda Kullanılan Ürün İzleme Teknolojilerinin İncelenmesi</article-title>
                                                                                                                                                                                                <trans-title-group xml:lang="en">
                                    <trans-title>Analysis of Crop Monitoring Technologies Used in Crop Agriculture</trans-title>
                                </trans-title-group>
                                                                                                    </title-group>
            
                                                    <contrib-group content-type="authors">
                                                                        <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0002-8069-8204</contrib-id>
                                                                <name>
                                    <surname>Aslan</surname>
                                    <given-names>Bora</given-names>
                                </name>
                                                                    <aff>KIRKLARELİ ÜNİVERSİTESİ</aff>
                                                            </contrib>
                                                    <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0001-7096-3425</contrib-id>
                                                                <name>
                                    <surname>Yavuzer Aslan</surname>
                                    <given-names>Füsun</given-names>
                                </name>
                                                                    <aff>KIRKLARELİ ÜNİVERSİTESİ</aff>
                                                            </contrib>
                                                                                </contrib-group>
                        
                                        <pub-date pub-type="pub" iso-8601-date="20250626">
                    <day>06</day>
                    <month>26</month>
                    <year>2025</year>
                </pub-date>
                                        <volume>15</volume>
                                        <issue>1</issue>
                                        <fpage>132</fpage>
                                        <lpage>145</lpage>
                        
                        <history>
                                    <date date-type="received" iso-8601-date="20241210">
                        <day>12</day>
                        <month>10</month>
                        <year>2024</year>
                    </date>
                                                    <date date-type="accepted" iso-8601-date="20250526">
                        <day>05</day>
                        <month>26</month>
                        <year>2025</year>
                    </date>
                            </history>
                                        <permissions>
                    <copyright-statement>Copyright © 2013, Manas Journal of Agriculture Veterinary and Life Sciences</copyright-statement>
                    <copyright-year>2013</copyright-year>
                    <copyright-holder>Manas Journal of Agriculture Veterinary and Life Sciences</copyright-holder>
                </permissions>
            
                                                                                                <abstract><p>Hızla artan nüfus, iklim krizi ve gıda güvenliği sorunları, tarımsal üretimde dijitalleşme ve ürün izleme teknolojilerinin önemini her geçen gün artırmaktadır. Dijitalleşmenin, gıda güvenliği, sürdürülebilirlik ve verimlilik gibi kritik alanlara önemli katkılar sağladığı bilinmektedir. Özellikle ürün izleme teknolojileri, verimliliği artırma, kaynak kullanımını optimize etme ve çevresel etkileri azaltma açısından büyük bir potansiyele sahiptir. Bu çalışmada, ürün izleme teknolojileri; otomasyon ve robotik, görüntüleme ve sensörler, büyük veri ve veri analitiği başlıkları altında incelenmiştir. GPS, IoT ve yapay zeka gibi ileri teknolojilerin tarım sektöründe kullanımının yaygınlaşmasıyla birlikte, tarımsal süreçlerin daha verimli hale geldiği, üretimden tüketiciye kadar izlenebilirliğin ve şeffaflığın sağlandığı ortaya konulmuştur. Ayrıca, yakın gelecekte dijital ikiz teknolojisinin tarımda uygulanmasıyla tarımsal verimliliğin artacağı ve daha sürdürülebilir bir üretim yapılacağı öngörülmektedir.</p></abstract>
                                                                                                                                    <trans-abstract xml:lang="en">
                            <p>The rapidly growing population, climate crisis, and food security issues are increasingly highlighting the importance of digitalization and product tracking technologies in agricultural production. It is well-known that digitalization provides significant contributions to critical areas such as food safety, sustainability, and efficiency. In particular, product tracking technologies hold great potential for enhancing efficiency, optimizing resource use, and reducing environmental impacts. In this study, product tracking technologies are examined under the categories of automation and robotics, imaging and sensors, big data, and data analytics. With the widespread use in advanced technologies such as GPS, IoT, and artificial intelligence in the agricultural sector, it has been demonstrated that agricultural processes have become more efficient, and traceability and transparency have been ensured from production to the consumer. Furthermore, it is anticipated that the application of digital twin technology in agriculture in the near future will enhance agricultural productivity and enable more sustainable production.</p></trans-abstract>
                                                            
            
                                                            <kwd-group>
                                                    <kwd>Ürün İzleme</kwd>
                                                    <kwd>  Otomasyon ve Robotik</kwd>
                                                    <kwd>  Görüntüleme ve Sensörler</kwd>
                                                    <kwd>  Büyük Veri ve Veri Analitiği</kwd>
                                            </kwd-group>
                                                        
                                                                            <kwd-group xml:lang="en">
                                                    <kwd>Crop Monitoring</kwd>
                                                    <kwd>  Automation and Robotics</kwd>
                                                    <kwd>  Imaging and Sensors</kwd>
                                                    <kwd>  Big Data and Data Analytics</kwd>
                                            </kwd-group>
                                                                                                            </article-meta>
    </front>
    <back>
                            <ref-list>
                                    <ref id="ref1">
                        <label>1</label>
                        <mixed-citation publication-type="journal">Aghighi, H., Azadbakht, M., Ashourloo, D., Shahrabi, H. S., ve Radiom, S. 
(2018). Machine Learning Regression Techniques for the Silage Maize 
Yield Prediction Using Time-Series Images of Landsat 8 OLI. IEEE Journal 
of Selected Topics in Applied Earth Observations and Remote Sensing, 
11(12), 4563-4577. https://doi.org/10.1109/JSTARS.2018.2823361</mixed-citation>
                    </ref>
                                    <ref id="ref2">
                        <label>2</label>
                        <mixed-citation publication-type="journal">Ahmed, I., Ahmad, M., Ghazouani, H., Barhoumi, W., ve Jeon, G. (2025). 
Intelligent Computing for Crop Monitoring in CIoT : Leveraging AI and Big 
Data Technologies. Expert Systems, 42(2), 1-14. 
https://doi.org/10.1111/exsy.13786</mixed-citation>
                    </ref>
                                    <ref id="ref3">
                        <label>3</label>
                        <mixed-citation publication-type="journal">Ali, A. M., Abouelghar, M., Belal, A. A., Saleh, N., Yones, M., Selim, A. I., Amin, 
M. E. S., Elwesemy, A., Kucher, D. E., Maginan, S., ve Savin, I. (2022). Crop 
Yield Prediction Using Multi Sensors Remote Sensing (Review Article). 
The Egyptian Journal of Remote Sensing and Space Science, 25(3), 711-
716. https://doi.org/10.1016/j.ejrs.2022.04.006</mixed-citation>
                    </ref>
                                    <ref id="ref4">
                        <label>4</label>
                        <mixed-citation publication-type="journal">Aria, M., ve Cuccurullo, C. (2017). bibliometrix : An R-tool for 
comprehensive science mapping analysis. Journal of Informetrics, 11(4), 
959-975. https://doi.org/10.1016/j.joi.2017.08.007</mixed-citation>
                    </ref>
                                    <ref id="ref5">
                        <label>5</label>
                        <mixed-citation publication-type="journal">Aydın Eryılmaz, G., ve Kılıç, O. (2018). Türkiye’de Sürdürülebilir Tarım ve İyi 
Tarım Uygulamaları. Kahramanmaraş Sütçü İmam Üniversitesi Doğa 
Bilimleri Dergisi, 21(4), 624-631. https://doi.org/10.18016/ksudobil.345137</mixed-citation>
                    </ref>
                                    <ref id="ref6">
                        <label>6</label>
                        <mixed-citation publication-type="journal">Barnes, A. P., Soto, I., Eory, V., Beck, B., Balafoutis, A., Sánchez, B., 
Vangeyte, J., Fountas, S., van der Wal, T., ve Gómez-Barbero, M. (2019). 
Exploring the adoption of precision agricultural technologies: A cross 
regional study of EU farmers. Land Use Policy, (80), 163-174. 
https://doi.org/10.1016/j.landusepol.2018.10.004</mixed-citation>
                    </ref>
                                    <ref id="ref7">
                        <label>7</label>
                        <mixed-citation publication-type="journal">Bendig, J., Bolten, A., Bennertz, S., Broscheit, J., Eichfuss, S., ve Bareth, G. 
(2014). Estimating Biomass of Barley Using Crop Surface Models (CSMs) 
Derived from UAV-Based RGB Imaging. Remote Sensing, 6(11), 10395-
10412. https://doi.org/10.3390/rs61110395</mixed-citation>
                    </ref>
                                    <ref id="ref8">
                        <label>8</label>
                        <mixed-citation publication-type="journal">Birner, R., Daum, T., ve Pray, C. (2021). Who drives the digital revolution in 
agriculture? A review of supply‐side trends, players and challenges. 
Applied Economic Perspectives and Policy, 43(4), 1260-1285. 
https://doi.org/10.1002/aepp.13145</mixed-citation>
                    </ref>
                                    <ref id="ref9">
                        <label>9</label>
                        <mixed-citation publication-type="journal">Cesco, S., Sambo, P., Borin, M., Basso, B., Orzes, G., ve Mazzetto, F. (2023). 
Smart agriculture and digital twins: Applications and challenges in a 
vision of sustainability. European Journal of Agronomy, (146), 126809. 
https://doi.org/10.1016/j.eja.2023.126809</mixed-citation>
                    </ref>
                                    <ref id="ref10">
                        <label>10</label>
                        <mixed-citation publication-type="journal">Chergui, N., ve Kechadi, M. T. (2022). Data analytics for crop 
management: a big data view. Journal of Big Data, 9(1), 123. 
https://doi.org/10.1186/s40537-022-00668-2</mixed-citation>
                    </ref>
                                    <ref id="ref11">
                        <label>11</label>
                        <mixed-citation publication-type="journal">Claverie, M., Ju, J., Masek, J. G., Dungan, J. L., Vermote, E. F., Roger, J.-C., 
Skakun, S. V., ve Justice, C. (2018). The Harmonized Landsat and 
Sentinel-2 surface reflectance data set. Remote Sensing of 
Environment, (219), 145-161. https://doi.org/10.1016/j.rse.2018.09.002</mixed-citation>
                    </ref>
                                    <ref id="ref12">
                        <label>12</label>
                        <mixed-citation publication-type="journal">Cuaran, J., ve Leon, J. (2021). Crop Monitoring using Unmanned Aerial 
Vehicles: A Review. Agricultural Reviews, 42(2), 121-132. 
https://doi.org/10.18805/ag.R-180</mixed-citation>
                    </ref>
                                    <ref id="ref13">
                        <label>13</label>
                        <mixed-citation publication-type="journal">Deichmann, U., Goyal, A., ve Mishra, D. (2016). Will digital technologies 
transform agriculture in developing countries? Agricultural Economics, 
47(S1), 21-33. https://doi.org/10.1111/agec.12300</mixed-citation>
                    </ref>
                                    <ref id="ref14">
                        <label>14</label>
                        <mixed-citation publication-type="journal">Ennouri, K., Smaoui, S., Gharbi, Y., Cheffi, M., Ben Braiek, O., Ennouri, M., ve 
Triki, M. A. (2021). Usage of Artificial Intelligence and Remote Sensing as 
Efficient Devices to Increase Agricultural System Yields. Journal of Food 
Quality, (2021), 1-17. https://doi.org/10.1155/2021/6242288</mixed-citation>
                    </ref>
                                    <ref id="ref15">
                        <label>15</label>
                        <mixed-citation publication-type="journal">Fountas, S., Mylonas, N., Malounas, I., Rodias, E., Hellmann Santos, C., ve 
Pekkeriet, E. (2020). Agricultural Robotics for Field Operations. Sensors, 
20(9), 1-27. https://doi.org/10.3390/s20092672</mixed-citation>
                    </ref>
                                    <ref id="ref16">
                        <label>16</label>
                        <mixed-citation publication-type="journal">Garcia-Sanchez, A.-J., Garcia-Sanchez, F., ve Garcia-Haro, J. (2011). 
Wireless sensor network deployment for integrating video-surveillance 
and data-monitoring in precision agriculture over distributed crops. 
Computers and Electronics in Agriculture, 75(2), 288-303. 
https://doi.org/10.1016/j.compag.2010.12.005</mixed-citation>
                    </ref>
                                    <ref id="ref17">
                        <label>17</label>
                        <mixed-citation publication-type="journal">Gomiero, T. (2019). Saving Food Production, Supply Chain, Food Waste 
and Food Consumption İçinde C. M. Galanakis (Ed.) Soil and crop 
management to save food and enhance food security (ss. 33-87). 
Academic Press. https://doi.org/10.1016/B978-0-12-815357-4.00002-X</mixed-citation>
                    </ref>
                                    <ref id="ref18">
                        <label>18</label>
                        <mixed-citation publication-type="journal">Hasan, M., Uddin, K. N. W., Sayeed, A., ve Tasneem, T. (2021). Smart 
Agriculture Robotic System Based on Internet of Things to Boost Crop 
Production. 2nd International Conference on Robotics, Electrical and 
Signal Processing Techniques (ICREST), 157-162. 
https://doi.org/10.1109/ICREST51555.2021.9331091</mixed-citation>
                    </ref>
                                    <ref id="ref19">
                        <label>19</label>
                        <mixed-citation publication-type="journal">Javaid, M., Haleem, A., Khan, I. H., ve Suman, R. (2023). Understanding 
the potential applications of Artificial Intelligence in Agriculture Sector. 
Advanced Agrochem, 2(1), 15-30. https://doi.org/10.1016/j.aac.2022.10.001</mixed-citation>
                    </ref>
                                    <ref id="ref20">
                        <label>20</label>
                        <mixed-citation publication-type="journal">Karmakar, P., Teng, S. W., Murshed, M., Pang, S., Li, Y., ve Lin, H. (2024). 
Crop monitoring by multimodal remote sensing: A review. Remote 
Sensing Applications: Society and Environment, 33, 101093. 
https://doi.org/10.1016/j.rsase.2023.101093</mixed-citation>
                    </ref>
                                    <ref id="ref21">
                        <label>21</label>
                        <mixed-citation publication-type="journal">Kum, S., Oh, S., ve Moon, J. (2024). Edge AI Framework for Large Scale 
Smart Agriculture. 27th Conference on Innovation in Clouds, Internet 
and Networks (ICIN), 143-147. 
https://doi.org/10.1109/ICIN60470.2024.10494451</mixed-citation>
                    </ref>
                                    <ref id="ref22">
                        <label>22</label>
                        <mixed-citation publication-type="journal">Kumar, P., Singh, A., Rajput, V. D., Yadav, A. K. S., Kumar, P., Singh, A. K., ve 
Minkina, T. (2022). Bioinformatics in Agriculture Next Generation 
Sequencing Era İçinde P. Sharma, D. Yadav and R. K. Gaur (Ed.), Role of 
artificial intelligence, sensor technology, big data in agriculture: next-
generation farming (ss. 625-639). Academic Press. 
https://doi.org/10.1016/B978-0-323-89778-5.00035-0</mixed-citation>
                    </ref>
                                    <ref id="ref23">
                        <label>23</label>
                        <mixed-citation publication-type="journal">Le Mouël, C., ve Forslund, A. (2017). How can we feed the world in 2050? 
A review of the responses from global scenario studies. European 
Review of Agricultural Economics, 44(4), 541-591. 
https://doi.org/10.1093/erae/jbx006</mixed-citation>
                    </ref>
                                    <ref id="ref24">
                        <label>24</label>
                        <mixed-citation publication-type="journal">Markets and Markets. (2020). Crop Monitoring Market with Covid-19 
Impact - Global Forecast to 2025. 
https://www.marketsandmarkets.com/Market-Reports/crop-
monitoring-market-8994590.html Erişim Tarihi: 19.05.2025</mixed-citation>
                    </ref>
                                    <ref id="ref25">
                        <label>25</label>
                        <mixed-citation publication-type="journal">Marques, L. S., Ferraz, G. A. e S., Moreira Neto, J., Magalhães, R. R., de 
Lima, D. A., Tsuchida, J. E., ve Fuzatto, D. C. (2022). Agricultural Machinery 
Telemetry: A Bibliometric Analysis. AgriEngineering, 4(4), 939-950. 
https://doi.org/10.3390/agriengineering4040060</mixed-citation>
                    </ref>
                                    <ref id="ref26">
                        <label>26</label>
                        <mixed-citation publication-type="journal">Milella, A., Rilling, S., Rana, A., Galati, R., Petitti, A., Hoffmann, M., Stanly, J. 
L., ve Reina, G. (2024). Robot-as-a-Service as a New Paradigm in 
Precision Farming. IEEE Access, 12, 47942-47949. 
https://doi.org/10.1109/ACCESS.2024.3381511</mixed-citation>
                    </ref>
                                    <ref id="ref27">
                        <label>27</label>
                        <mixed-citation publication-type="journal">Ndikumana, E., Ho Tong Minh, D., Dang Nguyen, H. T., Baghdadi, N., 
Courault, D., Hossard, L., ve El Moussawi, I. (2018). Estimation of Rice 
Height and Biomass Using Multitemporal SAR Sentinel-1 for Camargue, 
Southern France. Remote Sensing, 10(9), 1394. 
https://doi.org/10.3390/rs10091394</mixed-citation>
                    </ref>
                                    <ref id="ref28">
                        <label>28</label>
                        <mixed-citation publication-type="journal">Olson, D., ve Anderson, J. (2021). Review on unmanned aerial vehicles, 
remote sensors, imagery processing, and their applications in 
agriculture. Agronomy Journal, 113(2), 971-992. 
https://doi.org/10.1002/agj2.20595</mixed-citation>
                    </ref>
                                    <ref id="ref29">
                        <label>29</label>
                        <mixed-citation publication-type="journal">O’Sullivan, J. N. (2023). Demographic Delusions: World Population 
Growth Is Exceeding Most Projections and Jeopardising Scenarios for 
Sustainable Futures. World, 4(3), 545-568. 
https://doi.org/10.3390/world4030034</mixed-citation>
                    </ref>
                                    <ref id="ref30">
                        <label>30</label>
                        <mixed-citation publication-type="journal">Paul, K., Chatterjee, S. S., Pai, P., Varshney, A., Juikar, S., Prasad, V., Bhadra, 
B., ve Dasgupta, S. (2022). Viable smart sensors and their application in 
data driven agriculture. Computers and Electronics in Agriculture, 198, 
107096. https://doi.org/10.1016/j.compag.2022.107096</mixed-citation>
                    </ref>
                                    <ref id="ref31">
                        <label>31</label>
                        <mixed-citation publication-type="journal">Research And Markets. (2025). Europe Precision Agriculture Market: 
Focus on Application, Product, and Country - Analysis and Forecast, 
2024-2034. https://www.researchandmarkets.com/report/europe-
precision-agriculture-market Erişim Tarihi: 19.05.2025</mixed-citation>
                    </ref>
                                    <ref id="ref32">
                        <label>32</label>
                        <mixed-citation publication-type="journal">Sishodia, R. P., Ray, R. L., ve Singh, S. K. (2020). Applications of Remote 
Sensing in Precision Agriculture: A Review. Remote Sensing, 12(19), 3136. 
https://doi.org/10.3390/rs12193136</mixed-citation>
                    </ref>
                                    <ref id="ref33">
                        <label>33</label>
                        <mixed-citation publication-type="journal">Story, D., Kacira, M., Kubota, C., Akoglu, A., ve An, L. (2010). Lettuce 
calcium deficiency detection with machine vision computed plant 
features in controlled environments. Computers and Electronics in 
Agriculture, 74(2), 238-243. https://doi.org/10.1016/j.compag.2010.08.010</mixed-citation>
                    </ref>
                                    <ref id="ref34">
                        <label>34</label>
                        <mixed-citation publication-type="journal">T.C. Cumhurbaşkanlığı Strateji ve Bütçe Başkanlığı. (2019). On Birinci 
Kalkınma Planı (2019-2023). https://www.sbb.gov.tr/wp-
content/uploads/2022/07/On_Birinci_Kalkinma_Plani-2019-2023.pdf 
Erişim Tarihi: 19.05.2025</mixed-citation>
                    </ref>
                                    <ref id="ref35">
                        <label>35</label>
                        <mixed-citation publication-type="journal">T.C. Cumhurbaşkanlığı Strateji ve Bütçe Başkanlığı. (2023). On İkinci 
Kalkınma Planı (2024-2028). https://www.sbb.gov.tr/wp-
content/uploads/2023/12/On-Ikinci-Kalkinma-Plani_2024-
2028_11122023.pdf Erişim Tarihi: 19.05.2025</mixed-citation>
                    </ref>
                                    <ref id="ref36">
                        <label>36</label>
                        <mixed-citation publication-type="journal">T.C. Kalkınma Bakanlığı. (2013). Onuncu Kalkınma Planı (2014-2018). 
https://www.sbb.gov.tr/wp-
content/uploads/2022/08/Onuncu_Kalkinma_Plani-2014-2018.pdf 
Erişim Tarihi: 19.05.2025</mixed-citation>
                    </ref>
                                    <ref id="ref37">
                        <label>37</label>
                        <mixed-citation publication-type="journal">Torres-Torriti, M., ve Burgos, P. N. (2023). Encyclopedia of Digital 
Agricultural Technologies İçinde Q. Zhang (Ed.), Field Machinery 
Automated Guidance (ss. 509-526). Springer International Publishing. 
https://doi.org/10.1007/978-3-031-24861-0_229</mixed-citation>
                    </ref>
                                    <ref id="ref38">
                        <label>38</label>
                        <mixed-citation publication-type="journal">van Dinter, R., Tekinerdogan, B., ve Catal, C. (2022). Predictive 
maintenance using digital twins: A systematic literature review. 
Information and Software Technology, 151, 107008. 
https://doi.org/10.1016/j.infsof.2022.107008</mixed-citation>
                    </ref>
                                    <ref id="ref39">
                        <label>39</label>
                        <mixed-citation publication-type="journal">Veloso, A., Mermoz, S., Bouvet, A., Le Toan, T., Planells, M., Dejoux, J.-F., ve 
Ceschia, E. (2017). Understanding the temporal behavior of crops using 
Sentinel-1 and Sentinel-2-like data for agricultural applications. Remote 
Sensing of Environment, 199, 415-426. 
https://doi.org/10.1016/j.rse.2017.07.015</mixed-citation>
                    </ref>
                                    <ref id="ref40">
                        <label>40</label>
                        <mixed-citation publication-type="journal">Virlet, N., Sabermanesh, K., Sadeghi-Tehran, P., ve Hawkesford, M. J. 
(2017). Field Scanalyzer: An automated robotic field phenotyping 
platform for detailed crop monitoring. Functional Plant Biology, 44(1), 
143. https://doi.org/10.1071/FP16163</mixed-citation>
                    </ref>
                                    <ref id="ref41">
                        <label>41</label>
                        <mixed-citation publication-type="journal">Wei, Y., Lee, K., ve Lee, K. (2024). Autonomous Field Navigation of Mobile 
Robots for Data Collection and Monitoring in Agricultural Crop Fields. 
21st International Conference on Ubiquitous Robots (UR), 707-712. 
https://doi.org/10.1109/UR61395.2024.10597470</mixed-citation>
                    </ref>
                                    <ref id="ref42">
                        <label>42</label>
                        <mixed-citation publication-type="journal">Wu, B., Gommes, R., Zhang, M., Zeng, H., Yan, N., Zou, W., Zheng, Y., 
Zhang, N., Chang, S., Xing, Q., ve Van Heijden, A. (2015). Global Crop 
Monitoring: A Satellite-Based Hierarchical Approach. Remote Sensing, 
7(4), 3907-3933. https://doi.org/10.3390/rs70403907</mixed-citation>
                    </ref>
                            </ref-list>
                    </back>
    </article>
