Article

Weakly-supervised learning to automatically count cotton flowers from aerial imagery

2022-03-01

Abstract excerpt

Counting plant flowers is a common task with applications for estimating crop yields and selecting favorable genotypes. Typically, this requires a laborious manual process, rendering it impractical to obtain accurate flower counts throughout the growing season. The model proposed in this study uses weak supervision, based on Convolutional Neural Networks (CNNs), which automates such a counting task for cotton flow...

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Literature Corpus work: 3d05f46a-971b-5eaf-9260-df3ca5e2d138
DOI: 10.1016/j.compag.2022.106734

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