IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v11y2021i5p431-d551471.html
   My bibliography  Save this article

Cherry Tree Crown Extraction from Natural Orchard Images with Complex Backgrounds

Author

Listed:
  • Zhenzhen Cheng

    (College of Engineering, China Agricultural University, No.17 Qing Hua Dong Lu, Haidian District, Beijing 100083, China)

  • Lijun Qi

    (College of Engineering, China Agricultural University, No.17 Qing Hua Dong Lu, Haidian District, Beijing 100083, China)

  • Yifan Cheng

    (College of Horticulture, Xinyang Agriculture and Forestry University, No. 1 Beihuan Road, Pingqiao District, Xinyang 464007, China)

Abstract

Highly effective pesticide applications require a continual adjustment of the pesticide spray flow rate that attends to different canopy characterizations. Real-time image processing with rapid target detection and data-processing technologies is vital for precision pesticide application. However, the extant studies do not provide an efficient and reliable method of extracting individual trees with irregular tree-crown shapes and complicated backgrounds. This paper on our study proposes a Mahalanobis distance and conditional random field (CRF)-based segmentation model to extract cherry trees accurately in a natural orchard environment. This study computed Mahalanobis distance from the image’s color, brightness and location features to acquire an initial classification of the canopy and background. A CRF was then created by using the Mahalanobis distance calculations as unary potential energy and the Gaussian kernel function based on the image color and pixels distance as binary potential energy. Finally, the study completed image segmentation using mean-field approximation. The results show that the proposed method displays a higher accuracy rate than the traditional algorithms K-means and GrabCut algorithms and lower labeling and training costs than the deep learning algorithm DeepLabv3+, with 92.1%, 94.5% and 93.3% of the average P, R and F1-score, respectively. Moreover, experiments on datasets with different overlap conditions and image acquisition times, as well as in different years and seasons, show that this method performs well under complex background conditions, with an average F1-score higher than 87.7%.

Suggested Citation

  • Zhenzhen Cheng & Lijun Qi & Yifan Cheng, 2021. "Cherry Tree Crown Extraction from Natural Orchard Images with Complex Backgrounds," Agriculture, MDPI, vol. 11(5), pages 1-19, May.
  • Handle: RePEc:gam:jagris:v:11:y:2021:i:5:p:431-:d:551471
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/11/5/431/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/11/5/431/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Atanu Sengupta & Sanjoy De, 2020. "Review of Literature," India Studies in Business and Economics, in: Assessing Performance of Banks in India Fifty Years After Nationalization, chapter 0, pages 15-30, Springer.
    2. Tong Liu & Xiutian Huang & Jianshe Ma, 2016. "Conditional Random Fields for Image Labeling," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-15, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jerzy Chojnacki & Aleksandra Pachuta, 2021. "Impact of the Parameters of Spraying with a Small Unmanned Aerial Vehicle on the Distribution of Liquid on Young Cherry Trees," Agriculture, MDPI, vol. 11(11), pages 1-13, November.
    2. Zhongao Lu & Lijun Qi & Hao Zhang & Junjie Wan & Jiarui Zhou, 2022. "Image Segmentation of UAV Fruit Tree Canopy in a Natural Illumination Environment," Agriculture, MDPI, vol. 12(7), pages 1-16, July.
    3. Zhou Yang & Jiaxiang Yu & Jieli Duan & Xing Xu & Guangsheng Huang, 2023. "Optimization-Design and Atomization-Performance Study of Aerial Dual-Atomization Centrifugal Atomizer," Agriculture, MDPI, vol. 13(2), pages 1-19, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. José María López-Sanz & Azucena Penelas-Leguía & Pablo Gutiérrez-Rodríguez & Pedro Cuesta-Valiño, 2021. "Sustainable Development and Consumer Behavior in Rural Tourism—The Importance of Image and Loyalty for Host Communities," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    2. Cristina Blasi Casagran & Colleen Boland & Elena Sánchez-Montijano & Eva Vilà Sanchez, 2021. "The Role of Emerging Predictive IT Tools in Effective Migration Governance," Politics and Governance, Cogitatio Press, vol. 9(4), pages 133-145.
    3. Maria Maddalena Sirufo & Francesca De Pietro & Alessandra Catalogna & Lia Ginaldi & Massimo De Martinis, 2021. "The Microbiota-Bone-Allergy Interplay," IJERPH, MDPI, vol. 19(1), pages 1-14, December.
    4. Oleh Pasko & Mykola Hordiyenko & Fuli Chen & Yarmila Tkal & Yulia Abraham, 2021. "Mapping Global Research on International Financial Reporting Standards: A Scientometric Review," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(3), pages 116-134, May.
    5. Zhang, Tianyu & Dong, Peiwu & Zeng, Yongchao & Ju, Yanbing, 2022. "Analyzing the diffusion of competitive smart wearable devices: An agent-based multi-dimensional relative agreement model," Journal of Business Research, Elsevier, vol. 139(C), pages 90-105.
    6. Vitor Hugo Ferreira & André da Costa Pinho & Dickson Silva de Souza & Bárbara Siqueira Rodrigues, 2021. "A New Clustering Approach for Automatic Oscillographic Records Segmentation," Energies, MDPI, vol. 14(20), pages 1-18, October.
    7. Maurizio Massaro & Francesca Dal Mas & Charbel Jose Chiappetta Jabbour & Carlo Bagnoli, 2020. "Crypto‐economy and new sustainable business models: Reflections and projections using a case study analysis," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(5), pages 2150-2160, September.
    8. Ines A. Ferreira & Rachel M. Gisselquist & Finn Tarp, 2021. "On the impact of inequality on growth, human development, and governance," WIDER Working Paper Series wp-2021-34, World Institute for Development Economic Research (UNU-WIDER).
    9. He Tingting, 2021. "Comparing Money and Time Donation: What Do Experiments Tell Us?," Marketing of Scientific and Research Organizations, Sciendo, vol. 41(3), pages 65-94, September.
    10. Beatriz Calzada Olvera & Mario Gonzalez-Sauri & Federico Louvin & David-Alexander Harings Moya, 2021. "COVID-19 in Central America: effects of firm resilience and policy responses on employment," WIDER Working Paper Series wp-2021-166, World Institute for Development Economic Research (UNU-WIDER).
    11. Alberto Cerezo-Narváez & Andrés Pastor-Fernández & Manuel Otero-Mateo & Pablo Ballesteros-Pérez, 2022. "The Influence of Knowledge on Managing Risk for the Success in Complex Construction Projects: The IPMA Approach," Sustainability, MDPI, vol. 14(15), pages 1-30, August.
    12. Iversen, Sara V. & Naomi, van der Velden & Convery, Ian & Mansfield, Lois & Holt, Claire D.S., 2022. "Why understanding stakeholder perspectives and emotions is important in upland woodland creation – A case study from Cumbria, UK," Land Use Policy, Elsevier, vol. 114(C).
    13. Kik, M.C. & Claassen, G.D.H. & Meuwissen, M.P.M. & Smit, A.B. & Saatkamp, H.W., 2021. "Actor analysis for sustainable soil management – A case study from the Netherlands," Land Use Policy, Elsevier, vol. 107(C).
    14. Rafidah Md Noor & Nadia Bella Gustiani Rasyidi & Tarak Nandy & Raenu Kolandaisamy, 2020. "Campus Shuttle Bus Route Optimization Using Machine Learning Predictive Analysis: A Case Study," Sustainability, MDPI, vol. 13(1), pages 1-24, December.
    15. Dominika Ehrenbergerová & Martin Hodula & Zuzana Gric, 2022. "Does capital-based regulation affect bank pricing policy?," Journal of Regulatory Economics, Springer, vol. 61(2), pages 135-167, April.
    16. Bergeaud Antonin & Ray Simon, 2020. "The macroeconomics of teleworking [Macroéconomie du télétravail]," Bulletin de la Banque de France, Banque de France, issue 231.
    17. Ana Iolanda Vodă & Cristina Cautisanu & Camelia Grădinaru & Chris Tănăsescu & Gustavo Herminio Salati Marcondes de Moraes, 2022. "Exploring Digital Literacy Skills in Social Sciences and Humanities Students," Sustainability, MDPI, vol. 14(5), pages 1-31, February.
    18. Ana Teresa Ferreira-Oliveira & José Keating & Isabel Silva, 2020. "Sustainable HRM as a Pathway to Sustainability—HRMS Relevance on Affective Commitment through Organizational Trust," Sustainability, MDPI, vol. 12(22), pages 1-27, November.
    19. Lauren R. Gullett & Dana M. Alhasan & W. Braxton Jackson & Chandra L. Jackson, 2022. "Employment Industry and Occupational Class in Relation to Serious Psychological Distress in the United States," IJERPH, MDPI, vol. 19(14), pages 1-26, July.
    20. Muhammad Arshad & Ghulam Abid & Francoise Venezia Contreras Torres, 2021. "Impact of prosocial motivation on organizational citizenship behavior: the mediating role of ethical leadership and leader–member exchange," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(1), pages 133-150, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:11:y:2021:i:5:p:431-:d:551471. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.