Agri News10/13 15:10 UTC
SIU researchers build robot, AI to detect soybean diseases before symptoms
Southern Illinois University Carbondale researchers are working to design a robot and program its artificial intelligence models. The goal is to detect soybean diseases before symptoms appear.
Read the original →Bioengineer.org10/13 13:29 UTC
Taxonomy-Aware AI Reads Crop Diseases Like a Field Expert, Pixel by Pixel
A new taxonomy-aware segmentation framework links every diseased pixel to both its host crop and its disease. It delivers state-of-the-art results on field benchmarks and strong zero-shot transfer.
Read the original →Bioengineer.org10/13 15:24 UTC
Pocket-Sized AI Delivers Full Rice Disease Diagnosis in Under 15 Milliseconds
A new knowledge distillation framework compresses three large neural networks into a 6.97 MB model. The model classifies rice diseases, localizes infections, and quantifies severity on a budget smartphone.
Read the original →Bioengineer.org10/13 11:48 UTC
AI learns how buildings shade themselves to predict facade solar power
Researchers built an occlusion-aware machine learning framework that predicts annual building-integrated photovoltaic facade yield. It covers 62 cities and four climate groups, with errors below ten.
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