Drift in machine learning refers to the phenomenon where the statistical...
We investigate the predictive performance of two novel CNN-DNN machine
l...
This study analyzed the performance of different machine learning method...
For a globally recognized planting breeding organization, manually-recor...
Large scale crop yield estimation is, in part, made possible due to the
...
The future landscape of modern farming and plant breeding is rapidly cha...
The success of modern farming and plant breeding relies on accurate and
...
Neural networks are among the most powerful nonlinear models used to add...
Precise in-season corn grain yield estimates enable farmers to make real...
Experimental corn hybrids are created in plant breeding programs by cros...
Crop yield prediction is extremely challenging due to its dependence on
...
Environmental stresses such as drought, and heat can cause substantial y...
Crop yield is a highly complex trait determined by multiple factors such...