crossrefMachine Learning and Knowledge Extraction2024-05-26Cited by 7
Fine-Tuning Artificial Neural Networks to Predict Pest Numbers in Grain Crops: A Case Study in Kazakhstan
Galiya Anarbekova, Luis Gonzaga Baca Ruiz, Akerke Akanova, Saltanat Sharipova, Nazira Ospanova
This study investigates the application of different ML methods for predicting pest outbreaks in Kazakhstan for grain crops. Comprehensive data spanning from 2005 to 2022, including pest population metrics, meteorological data, and geographical parameters, were employed to train…