Article

AgriGAN: Unpaired image dehazing via A Cycle-Consistent Generative Adversarial Network for the Agricultural Plant Phenotype

2024-01-30

Abstract excerpt

<title>Abstract</title> <p>Artificially extracted agricultural phenotype information has high subjectivity and low accuracy, and the use of image extraction information is easily disturbed by haze. Moreover, the agricultural image dehazing method used to extract such information is ineffective, as the images often contain unclear texture information and image colors. To address these shortcomings, we propose unpa...

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Literature Corpus work: 5dc42f28-655b-5cb4-9acb-a4223b6bdbbc
DOI: 10.21203/rs.3.rs-3833815/v1

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