Advancing agricultural research using machine learning algorithms

Abstract Rising global population and climate change realities dictate that agricultural productivity must be accelerated. Results from current traditional research approaches are difficult to extrapolate to all possible fields because they are dependent on specific soil types, weather conditions, a...

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Bibliographic Details
Main Authors: Spyridon Mourtzinis, Paul D. Esker, James E. Specht, Shawn P. Conley
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
R
Q
Online Access:https://doaj.org/article/b24c1ea5518c4a0baa41b5a535eaecac
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