•This paper proposes a novel methodology to generate synthetic data in agriculture.•Based on empirical measurements, a 3D plant model was created.•Randomised plants were generated with this model and rendered in realistic scenes.•A synthetic dataset was created with a corresponding annotated empirical dataset.•Deep learning models were trained on the datasets and show performance gain.
Computers and Electronics in Agriculture – Elsevier
Published: Jan 1, 2018
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