AIMC Topic: Climate
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Climate and genetic data enhancement using deep learning analytics to improve maize yield predictability.
Journal of experimental botany
Sep 3, 2022
Despite efforts to collect genomics and phenomics ('omics') and environmental data, spatiotemporal availability and access to digital resources still limit our ability to predict plants' response to changes in climate. Our goal is to quantify the imp...
Forecasting beef production and quality using large-scale integrated data from Brazil.
Journal of animal science
Apr 1, 2020
With agriculture rapidly becoming a data-driven field, it is imperative to extract useful information from large data collections to optimize the production systems. We compared the efficacy of regression (linear regression or generalized linear regr...
Vitamin D deficiency among children aged 10-18 years in Sri Lanka.
The Ceylon medical journal
Dec 31, 2019
BACKGROUND: Vitamin D deficiency (VDD) and insufficiency (VDI) are public health problems in many countries, and limited data is available on the prevalence of VDD/VDI in Sri Lanka.
How machine learning could help to improve climate forecasts.
Nature
Aug 23, 2017
[Applications of eco-environmental big data: Progress and prospect].
Ying yong sheng tai xue bao = The journal of applied ecology
May 18, 2017
With the advance of internet and wireless communication technology, the fields of ecology and environment have entered a new digital era with the amount of data growing explosively and big data technologies attracting more and more attention. The eco...
[Relationship between reference values of fibrinogen and geographical factors based on neural network analysis].
Nan fang yi ke da xue xue bao = Journal of Southern Medical University
Aug 20, 2016
OBJECTIVE: To analyze the relationship between the reference values of fibrinogen (FIB) in healthy Chinese adults and geographical factors to provide scientific evidences for establishing the uniform standard.
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