Articles
Unlocking precision horticulture through machine learning-driven 3D canopy analysis
Article number
1395_13
Pages
95 – 102
Language
English
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.
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.
Authors
B.P. Banerjee, A. Scalisi, N. Valluri, L. Bonzi, M.G. OConnell, G.J. Fitzgerald, I. Goodwin
Keywords
canopy geometry, laser scanning, phenotyping, remote sensing, segmentation
Groups involved
- Division Temperate Tree Nuts
- Division Vine and Berry Fruits
- Division Temperate Tree Fruits
- Division Precision Horticulture and Engineering
- Division Plant-Environment Interactions in Field Systems
- Division Tropical and Subtropical Fruit and Nuts
- Working Group Precision Management of Orchards and Vineyards
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