Unlocking precision horticulture through machine learning-driven 3D canopy analysis

Paper

Banerjee, B.P., Scalisi, A., Valluri, N., Bonzi, L., O'Connell, M.G., Fitzgerald, G.J. and Goodwin, I.. 2024. "Unlocking precision horticulture through machine learning-driven 3D canopy analysis." O'Connell, M. (ed.) II International Symposium on Precision Management of Orchards and Vineyards. Tatura, Australia 03 - 08 Dec 2023 Australia. https://doi.org/10.17660/ActaHortic.2024.1395.13
Paper/Presentation Title

Unlocking precision horticulture through machine learning-driven 3D canopy analysis

Presentation TypePaper
AuthorsBanerjee, B.P., Scalisi, A., Valluri, N., Bonzi, L., O'Connell, M.G., Fitzgerald, G.J. and Goodwin, I.
EditorsO'Connell, M.
Journal or Proceedings TitleActa Horticulturae
Journal Citation1395, pp. 95-102
Number of Pages8
Year2024
Place of PublicationAustralia
ISSN0567-7572
ISBN9789462613942
Digital Object Identifier (DOI)https://doi.org/10.17660/ActaHortic.2024.1395.13
Web Address (URL) of Paperhttps://www.actahort.org/books/1395/1395_13.htm
Web Address (URL) of Conference Proceedingshttps://www.actahort.org/books/1395/index.htm
Conference/EventII International Symposium on Precision Management of Orchards and Vineyards
Event Details
II International Symposium on Precision Management of Orchards and Vineyards
Delivery
Online
Event Date
03 to end of 08 Dec 2023
Event Location
Tatura, Australia
Event Venue
Tatura SmartFarms
Event Web Address (URL)
Abstract

Accurate delineation of biomass within orchard ecosystems is imperative for optimising agricultural methodologies, augmenting crop productivity, and streamlining resource allocation. Conventional biomass estimation techniques, predominantly manual in nature, are labour-intensive, time-consuming, and susceptible to error. The advent of remote sensing technologies, notably terrestrial laser scanning, has emerged as a viable alternative for non-invasive and efficient crop monitoring in orchards. This research delineates the application of terrestrial laser scanning in a pear orchard for the precise quantification of foliar and trunk biomass, distinct from fruit yield assessments. The technique facilitates the delineation and quantification of leaf and wood biomass across various pear cultivars. An aspect of this study is using laser scanning to deconstruct tree canopy architecture through skeletonisation processes. This approach yields comprehensive insights into the structural dynamics of the canopy. The precision of data regarding canopy structure is crucial for developing and implementing decision support systems, facilitating improved management practices in irrigation, fertilisation, canopy shaping, and the differential application of agricultural inputs, thereby adhering to the principles of precision horticulture.

Keywordscanopy geometry; laser scanning; phenotyping; remote sensing; segmentation
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020409901. Agricultural engineering
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Byline AffiliationsSchool of Surveying and Built Environment
Centre for Sustainable Agricultural Systems
Agriculture Victoria
University of Pisa, Italy
University of Melbourne
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