2 citations · 5 across the 5 of their papers we have counts for
3 papers · 1 filter
A Geospatial Approach to Predicting Desert Locust Breeding Grounds in Africa
Ibrahim Salihu Yusuf, Mukhtar Opeyemi Yusuf, Kobby Panford-Quainoo +1
Desert locust swarms present a major threat to agriculture and food security. Addressing this challenge, our study develops an operationally-ready model for predicting locust breed…
On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa
Ibrahim Salihu Yusuf, Kale-ab Tessera, Thomas Tumiel +4
Desert locust outbreaks threaten the food security of a large part of Africa and have affected the livelihoods of millions of people over the years. Machine learning (ML) has been…
Differentiable Histogram with Hard-Binning
Ibrahim Yusuf, George Igwegbe, Oluwafemi Azeez
The simplicity and expressiveness of a histogram render it a useful feature in different contexts including deep learning. Although the process of computing a histogram is non-diff…