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Predicting CO₂ emissions from farm inputs in wheat production using artificial neural networks and linear regression models - Case study in Canterbury, New Zealand
(The Science and Information (SAI) Organization, 2016)
Two models have been developed for simulating CO₂ emissions from wheat farms: (1) an artificial neural network (ANN) model; and (2) a multiple linear regression model (MLR). Data were collected from 40 wheat farms in the ...
The extension needs of small dairy farmers
With the constant cost price squeeze, farmers with smaller farms must constantly consider their options to maintain their purchasing power. Some farmers will sell, others will buy extra land, some will sell and shift onto ...