New machine learning models that predict the performance of seed varieties in particular conditions

Demonstrated a method for prediction of seed performance under different conditions to inform risk/productivity decision making in seed selection.

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Bibliographic Details
Main Author: CGIAR Platform for Big Data in Agriculture
Format: Report biblioteca
Language:English
Published: 2019-12-31
Subjects:models, productivity, varieties, decision making, seed, development, selection, rural development, learning, risk, systems, agrifood systems, machine learning, prediction, seed development,
Online Access:https://hdl.handle.net/10568/122958
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