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Scheduling Planting Time Through Developing an Optimization Model and Analysis of Time Series Growing Degree Units. (arXiv:2207.00745v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
Producing higher-quality crops within shortened breeding cycles ensures
global food availability and security, but this improvement intensifies
logistical and productivity challenges for seed industries in the year-round
breeding process due to the storage limitations. In the 2021 Syngenta crop
challenge in analytics, Syngenta raised the problem to design an optimization
model for the planting time scheduling in the 2020 year-round breeding process
so that there is a consistent harvest quantity each week. They released a
dataset that contained 2569 seed …
analysis arxiv lg optimization scheduling series time time series