Timely and accurate crop yield estimation is important for adjusting agronomic management
and enseuring agricultural sustainability. Machine learning (ML) algorithms provide new …

In recent years, the use of remotely sensed and on-ground observations of crop fields, in
conjunction with machine learning techniques, has led to highly accurate crop yield …

Nitrogen fertilizer response (N-response) curves are tools used to support farm management
decisions. The conventional approach to model an N-response curve is to fit crop yield in …

Precision agriculture and open-source data repositories provide a plethora of field-specific
ecological data about agroecosystems, but few mechanisms have been developed to turn …

Many quantitative problems that occur in disciplines such as physics, engineering, and
economics can be defined through mathematical principles; solving these problems is …

Being able to predict migratory flows is important in ensuring political, social, and economic
stability. In the wake of violence, unrest, natural disasters, and social pressures, millions of …