disease-detection
Disease detection in plant science refers to the identification and diagnosis of pathogens, infections, and physiological disorders affecting plant health using methods ranging from visual inspection to molecular and sensor-based technologies. Early and accurate detection is critical for preventing the spread of disease across crops and ecosystems, enabling timely intervention before significant damage occurs. Advances in imaging, genomics, and machine learning are transforming how researchers and growers monitor plant health at scale with greater precision.
PubMed · 2026-04-03
Scientists developed a portable, field-ready test that can detect a devastating strawberry soil fungus in under 40 minutes using a special enrichment rod and gene-editing technology — no lab required.
The enrichment rod achieves detection as low as 8.5 colony-forming units per gram of soil and 70 DNA copies, showing extremely high sensitivity.
After 48 hours of passive in-soil enrichment, the detection workflow from rod retrieval to result takes only 40 minutes, with less than 10 minutes of hands-on time.
The method bypasses the need for traditional nucleic acid extraction by using a rapid lysis buffer directly, eliminating interference from humic acids and other soil inhibitors that cause high false-negative rates in conventional tests.
