A Geospatial Approach to Predicting Desert Locust Breeding Grounds in Africa

arXiv:2403.06860v1 Announce Type: new
Abstract: 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 breeding grounds, which has the potential to enhance early warning systems and targeted control measures. We curated a dataset from the United Nations Food and Agriculture Organization's (UN-FAO) locust observation records and analyzed it using two types of spatio-temporal input features: remotely-sensed environmental and climate data as well as multi-spectral earth …

abstract africa agriculture arxiv challenge control cs.cv cs.lg dataset food geospatial major security study systems threat type