A Robust Machine Learning Framework for Plant Disease Emission Forecasting Using Deep Learning Techniques
Early crop stress identification and the creation of sustainable agricultural practices depend heavily on the accurate prediction of emission fluctuations linked to plant diseases. Agricultural data that is high-dimensional, nonlinear, and temporal frequently presents challenges for traditional machine learning techniq...