Accurate and economically sound soil fertility recommendations are critical for ensuring profitable food production for smallholder farmers. However, such recommendations are lacking in many...
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cereals machine learning
High crop yield variation between years—caused by extreme shocks on the food production system such as extreme weather—can have substantial effects on food production. This in turn...
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Predicting performance of hybrids prior to field evaluation is a challenging problem.
We developed machine learning models to estimate performance of untested hybrids.
The...
Highlights:
Collection and labelling of datasets in close supervision of plant pathologist.
Employing K-Means algorithm for segmentation of region of interest.
Using severity scale for estimation of...
Highlights:
Estimating durum wheat yields in Algeria using climate records;
A forecasting process using machine learning in the presence of data scarcity;
Data augmentation by...
In many Sub-Saharan countries, farmers cannot meet the growing urban demand for higher quality products, leading to increasing dependency on imports. While the literature has focused...