TY  - JOUR 
AU  - Cornejo Bueno, Laura
AU  - Pérez Aracil, Jorge
AU  - Casanova Mateo, Carlos
AU  - Sanz Justo, María Julia
AU  - Salcedo Sanz, Sancho
PY  - 2023
SN  - 2076-3417
UR  - https://uvadoc.uva.es/handle/10324/68422
AB  - For decades, humans have been confronted with numerous pest species, with the desert locust being one of the most damaging and having the greatest socio-economic impact. Trying to predict the occurrence of such pests is often complicated by the small...
LA  - eng
PB  - MDPI
KW  - Desert locust
KW  - Plagas de insectos
KW  - Langosta (Insecto)
KW  - Classification
KW  - Regression analysis
KW  - Análisis de regresión
KW  - Statistical Learning
KW  - Machine learning
KW  - Aprendizaje automático
KW  - Artificial intelligence
KW  - Remote sensing
KW  - Teledeteccion
TI  - Machine learning classification–Regression schemes for desert locust presence prediction in western Africa
DO  - 10.3390/app13148266
ER  -