New machine learning framework for more accurate plant disease diagnosis
Plant diseases pose a significant threat to nations across the globe, owing to the financial burden they impose and the impact they have on food security. Healthy crops sustain millions of livelihoods, and accurate diagnosis of plant diseases allows for timely interventions to ensure sufficient crop production with minimal yield loss. Traditional approaches to disease recognition typically follow two paths. The first relies on crop inspection by trained experts, while the second leverages neural networks ...
















