A University of Florida report published on 30 June 2026 describes research using hyperspectral imaging after watering was reduced in lettuce. The technique measures reflected light across many wavelengths, detecting physiological changes before obvious wilting or discolouration. The study was published in Plant Phenomics.
Researchers reported approximately 97% classification accuracy by the fifth day under the tested conditions, with stress detection assessed across independent experiments. Potential applications include automated crop monitoring in greenhouses and future space-growing systems. Those applications remain development opportunities: the reported experiment concerns drought stress in lettuce, not universal diagnosis across crop species or environmental problems.
