Researchers from James Cook University highlight critical gaps and future directions for developing a large-scale, machine-learning-based satellite spectroscopy system to monitor sugarcane health and detect diseases and pests.
A new study published in Applied Food Research demonstrates that near-infrared spectroscopy (NIRS) can effectively detect subclinical bovine mastitis in milk, offering a fast, non-invasive method to guide targeted antibiotic treatment and support sustainable dairy practices.