Web: http://arxiv.org/abs/2105.07789

Jan. 28, 2022, 2:11 a.m. | Lukas Drees, Laura Verena Junker-Frohn, Jana Kierdorf, Ribana Roscher

cs.LG updates on arXiv.org arxiv.org

Farmers frequently assess plant growth and performance as basis for making
decisions when to take action in the field, such as fertilization, weed
control, or harvesting. The prediction of plant growth is a major challenge, as
it is affected by numerous and highly variable environmental factors. This
paper proposes a novel monitoring approach that comprises high-throughput
imaging sensor measurements and their automatic analysis to predict future
plant growth. Our approach's core is a novel machine learning-based generative
growth model based …

arxiv cv evaluation growth networks prediction

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