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New machine learning framework for more accurate plant disease diagnosis
Phys.Org
by NanJing Agricultural University 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 and image-processing. However, both options have their limitations. While trained experts provide their opinions following an error-prone and time-consuming manual inspection, conventional image-processing methods extract superficial information and need prerequisite training for better predictions.
This implies that it is difficult to make consistent predictions as the complexity of information increases.
Read on: https://phys.org/news/2023-04-machine-framework-accurate-disease-diagnosis.html
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