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Machine Learning Regression Techniques for the Silage Maize Yield Prediction Using Time-Series Images of Landsat 8 OLI

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018
Machine learning (ML) techniques have been utilized for the crop monitoring and yield estimation/prediction using remotely sensed data. However, these methods have been investigated less for yield prediction of some crops, such as silage maize, which can
H. Aghighi   +4 more
semanticscholar   +1 more source

Stack Silage

1937
Topics include review of literature, experimental procedure, experimental results, summary, literature cited, and ...
Hodgson, R., Knott, J.
openaire   +2 more sources

Whole-plant corn silage improves rumen fermentation and growth performance of beef cattle by altering rumen microbiota

Applied Microbiology and Biotechnology, 2021
Yalei Cui   +12 more
semanticscholar   +1 more source

Grass silage

Outlook on Agriculture, 1966
Progress in silage-making in Britain since the war has not been as rapid as many had hoped having regard to the potential cheapness of the material as a feedingstuff. Much poor silage has been made from time to time leading to wastage of valuable nutrients.
openaire   +1 more source

SILAGE

The Lancet, 1940
openaire   +1 more source

Silage Making

2020
P.V. Patil, M.K. Patil
openaire   +1 more source

SILAGE

The Lancet, 1941
openaire   +1 more source

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