Herbicide efficacy prediction based on object segmentation of glasshouse imagery

Abstract: In this work, we explore the possibility of incorporating deep learning (DL) to propose a solution for the herbicidal efficacy prediction problem based on glasshouse (GH) images. Our approach utilises RGB images of treated and control plant images to perform the analysis and operates in th...

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Bibliographic Details
Main Authors: Majedaldein Almahasneh, Baihua Li, Haibin Cai, Nasir Rajabi, Laura Davies, Qinggang Meng
Format: Default Conference proceeding
Published: 2025
Subjects:
Deep learning
Semantic segmentation
Object detection
Herbicide efficacy
Machine learning in agriculture
Online Access:https://hdl.handle.net/2134/28173884.v1
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https://hdl.handle.net/2134/28173884.v1

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