Identification of stressed plants in a crop before symptom expression by using thermographic information collected via quick aerial surveys in combination with our patented Artificial Intelligence procedures. Our method enables the localization of problematic areas in the field in real time and allows early disease diagnosis and effective control applications to control plant epidemics in the nascent.
A universal platform for accurate dot-blot ELISA output evaluation and disease diagnosis. The system is based on our patented Artificial Intelligence procedure, which exploits image pixel information to enable predictions on the status (positive or negative) of unknown samples processed by the dot-blot ELISA (or common ELISA) serological method. Our on-line available application accepts dot-blot ELISA raster images as input and gives back reconstituted images showing the positive dots along with useful diagnostic metadata and statistical information. The procedure is versatile and can be applied in all cases in which serodiagnosis is applied, from disease diagnosis in humans and plants to microbe and toxin detection in foods.